Pack · #181 trending skills repo · ↗ +106 stars this week
Product-Manager-Skills
deanpeters/Product-Manager-Skills
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
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Get started
Install the skills
npx skills add deanpeters/Product-Manager-SkillsInstalls into Claude Code, Codex, Cursor, OpenCode and the other agents it finds on your machine.
/plugin marketplace add deanpeters/Product-Manager-SkillsRun inside Claude Code, then pick what to install from /plugin.
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/product-manager-skills
cp -r /tmp/product-manager-skills ~/.claude/skills/product-manager-skillsClaude Code reads ~/.claude/skills/ (or .claude/skills/ in a project). Other agents read the same SKILL.md format from their own skills folder.
Inside this repo
48 of 77 skills
skills/acquisition-channel-advisoragent-orchestration-advisorDesign multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead of one linear process.skills/agent-orchestration-advisorai-shaped-readiness-advisorAssess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.skills/ai-shaped-readiness-advisoraltitude-horizon-frameworkUnderstand the PM-to-Director transition through altitude and horizon thinking. Use when diagnosing scope, time-horizon, or leadership-level gaps.skills/altitude-horizon-frameworkansoff-matrixMap evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing. Use when the question is where the next tranche of growth comes from, and at what risk.skills/ansoff-matrixautonomous-investigationThe protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable outputs.skills/autonomous-investigationbattle-card-builderResearch and draft a competitive battle card from public evidence — every claim labeled and sourced. Use when a rep needs a field-action card, not a research report.skills/battle-card-builderbusiness-health-diagnosticDiagnose SaaS business health across growth, retention, efficiency, and capital. Use when preparing a business review or prioritizing urgent fixes.skills/business-health-diagnosticcompany-intelResearch a company, industry, or competitor set using web search and seven analytical lenses. Use when you need structured intel that feeds downstream PM skills.skills/company-intelcompany-researchCreate a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work.skills/company-researchcompetitive-analysis-processOrchestrate a complete competitive analysis across six steps, from landscape to strategic direction. Use when you need the full picture, not a single scan or card.skills/competitive-analysis-processcompetitive-intel-watchScheduled delta monitoring against a prior competitive snapshot. Use when tracking competitors on a cadence: material shifts only, cited evidence, battle-card update flags, runs unattended.skills/competitive-intel-watchcompetitive-research-snapshotResearch a competitive landscape with cited snapshots, a comparison matrix, and so-what implications. Use when a product decision needs competitive grounding, not a market report.skills/competitive-research-snapshotcontext-engineering-advisorDiagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, or hard to steer reliably.skills/context-engineering-advisorcustomer-journey-mapCreate a customer journey map across stages, touchpoints, actions, emotions, and metrics. Use when diagnosing a broken experience or aligning a team on the full customer flow.skills/customer-journey-mapcustomer-journey-mapping-workshopRun a customer journey mapping workshop with adaptive questions and outputs. Use when you need to map stages, actions, emotions, pain points, and opportunities for a persona and scenario.skills/customer-journey-mapping-workshopderisk-measurement-advisorIdentify what to measure, test, or track to de-risk a product or AI idea. Use when stress-testing an idea across internal (DUFV) and external (PESTEL) dimensions.skills/derisk-measurement-advisordirector-readiness-advisorGuide the PM-to-Director transition across preparing, interviewing, landing, and recalibrating. Use when leadership scope is changing and you need practical coaching.skills/director-readiness-advisordiscovery-interview-prepPlan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.skills/discovery-interview-prepdiscovery-processRun a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.skills/discovery-processeol-checklistBuild a phase-gated EOL checklist sized to the sunset, with a named owner on every item. Use when the decision to retire is made and you need the operational plan.skills/eol-checklisteol-internal-enablementBuild the support FAQ, sales talking points, and objection handling teams need before an EOL announcement. Use when customer-facing teams must be ready before customers hear.skills/eol-internal-enablementeol-messageWrite a right-sized EOL announcement — brief notice through full phased comms — with rationale, customer impact, and next steps. Use when retiring a product, feature, or plan.skills/eol-messageeol-processRun a product sunset end to end — decide, align, plan, prepare, announce, close. Use when you need the whole EOL process, not just one artifact.skills/eol-processeol-readiness-advisorRun a go/no-go assessment for retiring a product or feature, then right-size the effort. Use when someone says \"we should probably kill this\" and nobody has made the call.skills/eol-readiness-advisoreol-stakeholder-sequencePlan who to talk to about a sunset, in what order, and what each conversation must cover. Use when an EOL decision is made and you want the landmines found before the announcement.skills/eol-stakeholder-sequenceepic-breakdown-advisorBreak down epics into user stories with Humanizing Work split patterns. Use when a backlog item is too large to estimate, sequence, or deliver safely.skills/epic-breakdown-advisorepic-hypothesisFrame an epic as a testable hypothesis with target user, expected outcome, and validation method. Use when defining a major initiative before roadmap, discovery, or delivery planning.skills/epic-hypothesisexecutive-onboarding-playbookPlan a VP or CPO 30-60-90 day diagnostic onboarding path. Use when entering a new executive product role and avoiding premature change.skills/executive-onboarding-playbookfeature-investment-advisorEvaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.skills/feature-investment-advisorfinance-based-pricing-advisorEvaluate pricing changes using ARPU, conversion, churn risk, NRR, and payback. Use when deciding whether a pricing move should ship.skills/finance-based-pricing-advisorfinance-metrics-quickrefLook up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis.skills/finance-metrics-quickrefincoming-request-advisorDecode an incoming message into a structured breakdown separating the literal ask from the job-to-be-done. Use when a loaded Slack ping, email, mandate, or escalation needs a reply.skills/incoming-request-advisorintel-discipline-advisorTriage a competitive or market question into the right intelligence disciplines, cadence, and executing skill. Use when you know something needs researching but not which channel to run.skills/intel-discipline-advisorintelligence-collection-disciplinesRun competitive research like an intelligence agency: eight collection disciplines (OSINT to MASINT), signal-to-inference chains, and fusion. Use when one-source research isn't enough.skills/intelligence-collection-disciplinesjobs-to-be-doneUncover customer jobs, pains, and gains in a structured JTBD format. Use when clarifying unmet needs, repositioning a product, or improving discovery and messaging.skills/jobs-to-be-donelean-ux-canvasGuide teams through Lean UX Canvas v2. Use when framing a business problem, surfacing assumptions, and defining what to learn next.skills/lean-ux-canvaslifecycle-play-advisorDiagnose where a product sits in its lifecycle and which play fits — extend, replace, or retire. Use when a product is fading and you need the call, not just the worry.skills/lifecycle-play-advisormarket-landscape-scanMap a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study.skills/market-landscape-scanopportunity-solution-treeBuild an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build.skills/opportunity-solution-treeorganic-growth-advisorIdentify which organic growth path to pursue — new segments, geographies, channels, or products. Use when diagnosing where a growth constraint lives and which McKinsey growth level to act on next.skills/organic-growth-advisorpestel-analysisAnalyze political, economic, social, technological, environmental, and legal forces. Use when external market shifts could materially affect a product, roadmap, or strategy.skills/pestel-analysispestel-delta-monitorQuarterly re-scan of a prior PESTEL analysis. Use when checking which macro factors moved, which assumptions broke, and what's new — turning PESTEL from a workshop artifact into a radar.skills/pestel-delta-monitorpm-skill-creatorDesign a new PM skill through guided conversation. Use when you have raw content or an idea and want to shape it into a compliant skill.skills/pm-skill-creatorpol-probe-advisorSelect the right Proof of Life (PoL) probe based on hypothesis, risk, and resources. Use this to match the validation method to the real learning goal, not tooling comfort.skills/pol-probe-advisorpol-probeDefine a Proof of Life probe to test a risky hypothesis cheaply. Use when you need harsh truth before building real product.skills/pol-probeporters-five-forcesRead an industry's structure through Porter's Five Forces with documented signals per rating, ending at the profit pool. Use when weighing market entry or when margins erode and nobody can say why.skills/porters-five-forcespositioning-statementCreate a Geoffrey Moore-style positioning statement. Use when clarifying who you serve, what problem you solve, your category, and why you're different from alternatives.skills/positioning-statementDocumentation
README
Product Manager Skills
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║ 77 battle-tested skills + 6 command workflows ║
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77 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.
Why This Exists
Generic AI output is a PM's worst enemy. When you tell your agent "write a PRD" without shared context, you get a generic document that no stakeholder trusts and no engineer can act on.
This library gives both you and your AI agent the same professional foundation: the why behind each framework, the failure modes to avoid, and the judgment to apply them correctly. You stop repeating yourself. Your agent stops guessing. The work gets better.
The goal is dual — functional and pedagogic in equal measure. Skills equip agents to do PM work at a professional level, and they teach the human PM the reasoning behind each framework — so you can explain it, adapt it, and pass it on. Neither is a byproduct of the other.
What You Can Get Done
Navigate by what you're actually trying to accomplish:
Framing and strategy
- problem-framing-canvas — MITRE's Look Inward / Look Outward / Reframe sequence; stops teams from solving the wrong problem
- positioning-statement — Geoffrey Moore's template for defining who you serve, what you solve, and how you're different
- product-strategy-session — full strategy arc: positioning → problem framing → solution exploration → roadmap (2-4 weeks)
Stakeholder alignment
- stakeholder-identification — map every stakeholder before engaging anyone: broad brainstorm → allies/audiences/influencers → R/P/D marking → equity lens → narrow to priority targets
- stakeholder-mapping — run two complementary grids (Power × Interest for engagement strategy; Impact × Power for whose voice to elevate) and compare to find the gaps
- stakeholder-engagement-advisor — per-stakeholder engagement planning: diagnoses their profile and context, then delivers tailored message framing, medium, cadence, and a named next action
Customer discovery and research
- discovery-interview-prep — plans Mom Test-style interviews based on your research goals
- opportunity-solution-tree — generates opportunities and solutions, then recommends the best proof-of-concept to test first
- discovery-process — complete discovery cycle: frame → research → synthesize → validate (3-4 weeks)
Prioritization and roadmapping
- prioritization-advisor — asks 3-5 questions about your context, then recommends RICE, ICE, Kano, or the right alternative
- epic-breakdown-advisor — splits large epics using Richard Lawrence's 9 patterns
- roadmap-planning — gather inputs → define epics → prioritize → sequence → communicate (1-2 weeks)
Writing PM deliverables
- user-story — Mike Cohn format + Gherkin acceptance criteria, with anti-patterns
- prd-development — structured PRD: problem → personas → solution → metrics → stories (2-4 days)
- press-release — Amazon Working Backwards: clarify product vision before writing a line of spec
Validation and experimentation
- pol-probe-advisor — recommends which prototype type to run based on your hypothesis and risk level
- pol-probe — template for documenting lightweight validation experiments before building
Finance and growth
- business-health-diagnostic — diagnoses SaaS health across growth, retention, efficiency, and capital using your real metrics
- organic-growth-advisor — McKinsey Growth Pyramid triage: diagnoses whether your constraint is in new segments, geographies, channels, or products
- feature-investment-advisor — build / don't build recommendation using revenue impact, cost, ROI, and strategic value
Market and competitive intelligence
- intel-discipline-advisor — start here: triages the question on your desk into the right intelligence disciplines, cadence, and executing skill
- competitive-analysis-process — the six-step umbrella: landscape → product comparison → customer needs → business baseline → positioning → strategic direction
- The investigation chain: market-landscape-scan → competitive-research-snapshot → competitive-intel-watch → battle-card-builder — each consumes the prior's schema, so research becomes a cadence instead of a one-off deck
- tam-sam-som-calculator — market sizing three ways: your own numbers, guided interview, or autonomous bottom-up research a skeptical CFO can attack one assumption at a time
Aging products: extend, replace, or retire
- lifecycle-play-advisor — start here when a product stops growing: seven transition questions establish the stage, then it picks the play — extend, replace, or retire — and tells you when the honest answer is "nothing yet"
- product-lifecycle-plays — the framework behind that call: the PLC strategy grid, the seven replacement hazards, and a risk register whose last column asks what is Plan B?
- eol-process — the whole sunset in six phases, decide → align → plan → prepare → announce → close, including the post-EOL review everyone skips
- The EOL chain: eol-readiness-advisor → eol-stakeholder-sequence → eol-checklist → eol-internal-enablement → eol-message — every one runs standalone, sized Light/Standard/Heavy by you
Career and leadership transitions
- director-readiness-advisor — coaches PMs through the PM→Director shift across four situations: preparing, interviewing, newly landed, recalibrating
- vp-cpo-readiness-advisor — coaches Directors through VP/CPO transition, including a CEO interview framework for evaluating roles before you accept
- executive-onboarding-playbook — 30-60-90 day diagnostic playbook for VP/CPO transitions
AI product work
- ai-shaped-readiness-advisor — assesses whether you're automating tasks (AI-first) or redesigning how you work (AI-shaped), then tells you which competency to build first
- context-engineering-advisor — diagnoses context stuffing vs. context engineering and guides memory architecture for AI-powered products
- agent-orchestration-advisor — guides multi-agent workflow design across four dimensions
Get Started
Choose your setup:
| I use... | Get this | Notes |
|---|---|---|
| Claude Desktop or Claude Web | pm-skills-starter-pack.zip |
Unzip, then upload the individual skill ZIPs to Claude Skills |
| Claude Code | Plugin marketplace | /plugin marketplace add deanpeters/Product-Manager-Skills, then /plugin install product-manager-skills@pm-skills for everything (or install skills one at a time) |
| Codex | pm-skills-codex.zip |
Installs .agents/skills and AGENTS.md |
| Not sure | pm-skills-starter-pack.zip |
Start here |
All downloads: GitHub Releases
Start here by situation
Don't know where to begin? Find the line that sounds like your week. Each route is a suggested order, not a pipeline — every skill runs on its own, so skip ahead, reorder, or stop after one. The first prompt is real: paste it, swap in your details, and go.
| If this is you... | Try, in this order | Time | Paste this first |
|---|---|---|---|
| "I have an idea and I don't know if it's real." | problem-framing-canvas → discovery-interview-prep → pol-probe-advisor | ~1–1.5 hr | Frame this problem: field sales reps 'don't use the CRM' and leadership wants gamification. |
| "A request or mandate just landed on my desk." | incoming-request-advisor → stakeholder-mapping → prioritization-advisor | ~1 hr | My VP DM'd me: "Any chance the dashboard redesign lands next sprint? Board's asking." Analyze this before I reply. |
| "I need to understand the market, fast." | market-landscape-scan → competitive-research-snapshot → swot-analysis | ~1–2 hr | Run a market landscape scan on [your market], and tell me the decision it should support. |
| "We keep getting compared and losing." | positioning-workshop → roadmap-planning (going bigger: product-strategy-session, a 2–4 week workflow) | ~2–3 hr | Run a positioning workshop for our API monitoring tool — we keep getting compared to Datadog and losing. |
| "Time to write it down." | prd-development → epic-breakdown-advisor → user-story | ~1.5–3 hr | Build a PRD for self-serve workspace provisioning — here are my discovery notes and the OKR it ladders to. |
| "Our product is getting old." | lifecycle-play-advisor → eol-readiness-advisor → eol-process | ~30–50 min to a decision | Help me decide what to do with [product]. Here's what makes me think it's fading: [signals]. |
| "I'm stepping up a level." | director-readiness-advisor or vp-cpo-readiness-advisor — pick by where you're headed | ~10–20 min | I'm 60 days into a Director role and my old peers now report to me — it's awkward and I'm still doing PM work. Coach me. |
| "I'm new here, or not sure." | The Starter pack — six skills across the craft | — | Install it, then ask: Which of these skills fits what's on my desk this week? |
Why these orders (so you can break them on purpose):
- Idea → problem → people → probe. Name the problem before you ask anyone about it, and ask people before you build anything. The probe comes last because it's the most expensive of the three.
- Request → decode → map → decide. Understand what's really being asked before replying, know who else is in the room, then ask where it fits. Prioritizing first is how a loud VP becomes your roadmap.
- Market → competitors → SWOT. Evidence first, framework last. SWOT on top of no research is opinion with a 2×2 around it.
- Positioning → roadmap. Decide who you're for and why you win before choosing what to build. The strategy session is the full-length version when the question is bigger than a quarter.
- PRD → epics → stories. The why first, then slices, then the smallest writeable pieces. Writing stories first is how a backlog loses its reason.
- Aging → play → readiness → process. The first skill may say "nothing yet" — extending or harvesting is a legitimate answer, and starting here does not commit you to a sunset.
On Claude Desktop or Web? Several of these skills aren't in a themed pack. Grab them one at a time from the download shelf, or take the All-skills pack.
Themed packs for Claude Desktop / Web
Each pack below is a ZIP of upload-ready skill ZIPs — unzip, then upload individuals to Claude Skills:
| Pack | Download | What's inside |
|---|---|---|
| Starter | pm-skills-starter-pack.zip |
Core skills across all categories |
| Discovery | 02-discovery-pack.zip |
Research, interviewing, synthesis |
| Strategy | 03-strategy-pack.zip |
Positioning, roadmapping, prioritization |
| Delivery | 04-delivery-pack.zip |
PRDs, stories, epics |
| AI PM | 05-ai-pm-pack.zip |
Context engineering, orchestration, readiness |
| Market Intel | 06-market-intel-pack.zip |
The full Market Intelligence Suite: disciplines, investigation chain, frameworks, monitors |
| Lifecycle & EOL | 07-lifecycle-eol-pack.zip |
Aging products: extend, replace, or retire — plus the full sunset process |
| All skills | 99-all-skills-pack.zip |
All 77 skills |
Install guides
Try It First — Streamlit (beta)
Not ready to wire skills into your agent setup? Run the local playground first and kick the tires in your browser.
pip install -r app/requirements.txt
streamlit run app/main.py
What you can do:
- Learn — browse setup and integration paths without leaving the app
- Find My Skill — describe your situation in plain English and get recommended skills
- Run Skills — run a skill with your own scenario once you know what you want
Multi-provider support: Anthropic, OpenAI, Ollama. API keys via environment variables only (no in-app key entry).
Docs: app/STREAMLIT_INTERFACE.md · app/.env.example
Feedback welcome via GitHub Issues or LinkedIn.
70 Skills, 3 Types
Skills are organized in three tiers that build on each other:
┌────────────────────────────────────────────────────────┐
│ WORKFLOW SKILLS (19) │
│ Complete end-to-end PM processes (days to weeks) │
│ Example: run a full discovery cycle or write a PRD │
└────────────────────────────────────────────────────────┘
↓ orchestrates
┌────────────────────────────────────────────────────────┐
│ INTERACTIVE SKILLS (27) │
│ Guided discovery — 3-5 questions, then recommendations│
│ Example: "Which prioritization framework fits here?" │
└────────────────────────────────────────────────────────┘
↓ uses
┌────────────────────────────────────────────────────────┐
│ COMPONENT SKILLS (24) │
│ Templates for specific PM deliverables (30-90 min) │
│ Example: write a user story with acceptance criteria │
└────────────────────────────────────────────────────────┘
Interactive skills use an Adaptive Decision Ladder. Instead of dumping a framework at you, an interactive skill asks 3-5 targeted questions about your specific context, then offers numbered recommendations — each with a clear "use this when" rationale. You pick a path. The skill executes it and explains the why as it goes. If you want to just learn the framework without doing the work, you can ask that too — the skill coaches you either way. This is ABC — Always Be Coaching — in practice.
Full catalog: catalog/INDEX.md — all 77 skills with descriptions, or browse skills/ directly.
How a Skill File Works
Every SKILL.md follows the same structure:
| Section | What it contains |
|---|---|
| Frontmatter | name, description, type, intent, best_for, scenarios |
| Purpose | What this skill does and when to reach for it |
| Input | What you can bring (with example invocations) — inline input is used, not re-asked, and arriving empty-handed is fine: the skill walks you through it |
| Key Concepts | Frameworks, definitions, anti-patterns — with vocabulary explained |
| Application | Step-by-step instructions an agent (or human) can follow |
| Examples | Real-world cases showing both good and bad versions |
| Common Pitfalls | Named failure modes with consequences and corrections |
| References | Related skills and external frameworks |
The best_for frontmatter field lists 3-5 specific scenarios where the skill is most useful — helpful for quickly scanning whether a skill fits your situation.
Why no $ARGUMENTS templating? Other skill libraries use Claude Code's $ARGUMENTS substitution for input. We deliberately don't: it only expands in Claude Code (it renders as literal syntax in Claude Desktop/Web, Codex, and the Streamlit playground), and it teaches the human reader nothing. Instead, every skill has a plain-language ## Input section that works on every runtime — and makes clear you can show up with full context, partial context, or nothing at all and be guided through the rest. Full rationale in CONTRIBUTING.md.
Works With
Claude Code · Claude Desktop · Claude Web · OpenAI Codex · ChatGPT · Cursor · Windsurf · n8n · LangFlow · CrewAI · Gemini · any agent that reads structured markdown
See docs/Platform Guides for PMs.md for platform-specific setup.
Docs
| Document | Purpose |
|---|---|
| Using PM Skills 101 | Beginner-friendly orientation — setup without technical overload |
| Platform Guides for PMs | Tool-by-tool setup chooser for every supported platform |
| Using PM Skills with Claude | Claude Code + GitHub ZIP upload for Claude Desktop/Web |
| Using PM Skills with Codex | Local workspace + GitHub-connected Codex on ChatGPT |
| Using PM Skills with ChatGPT | GitHub app, Custom GPT Knowledge, and Project-based usage |
| Using PM Skills with Slash Commands 101 | Turn skills into reusable slash commands like /pm-story |
| Add-a-Skill Utility Guide | End-to-end guide for generating and validating new skills |
| Market Intelligence Suite Summary | The 14-skill competitive/market research suite: disciplines, chain, and which skill to run when |
| Lifecycle & EOL Suite Summary | The 8-skill lifecycle/sunset suite: the three plays, the EOL chain, and right-sizing |
| Building PM Skills | How raw PM content gets distilled into agent-ready skills |
| START_HERE.md | 60-second onboarding for local repo users |
What's New
v0.84 — August 10, 2026 · The Lifecycle & End-of-Life Suite
- 7 new skills + 1 upgrade for the part of product management nobody trains you on: what to do with a product that has stopped growing, and how to retire one without losing the customer
- Start upstream of the kill decision.
lifecycle-play-advisorandproduct-lifecycle-playsdiagnose where a product actually sits using seven transition questions, then pick between the three plays — extend, replace, or retire. Includes the seven replacement hazards and a risk register whose contingency column asks the question everyone skips: what is Plan B? - The EOL chain:
eol-readiness-advisor(go/no-go, and it will tell you to hold) →eol-stakeholder-sequence(Legal before Finance before Sales — get the order wrong and you find the landmines after the announcement) →eol-checklist(phase-gated, an owner on every item) →eol-internal-enablement(your teams ready before customers hear) →eol-message(upgraded: three transition paths including the honest no-replacement case) →eol-process(the whole thing, six phases, including the post-EOL review everybody skips) - Right-sizing is a dial you set, not a verdict handed to you. Every skill offers Light / Standard / Heavy, defaults to Standard, and names what a lighter choice leaves uncovered. A feature deprecation should never get a flagship playbook — that's how teams learn to ignore EOL process on the sunset that actually matters
- No tight coupling. Every skill runs standalone; the workflow is a recommended route through independent stops, not a pipeline. Enter wherever you actually are — including mid-sunset, with a diagnostic that maps symptoms ("Support is drowning") to the phase that got skipped
- Library now at 77 skills · full story in the release note
v0.83 — July 17, 2026 · The Market Intelligence Suite
- 14 new skills + 2 major upgrades — the biggest single addition in the library's history. Run competitive and market research like an intelligence agency instead of a term paper: eight collection disciplines (OSINT → MASINT), signal → inference chains, confidence stacking, and a fusion cadence
- New interaction mode:
autonomous-investigation— the protocol for research that proceeds without you. Question budgets, a search-plan gate, Fact / Inference / Assumption labels on every claim, do-not-invent lists, and stable diffable schemas, so investigations can run on a schedule and you can diff this quarter against last - The investigation chain (market-landscape-scan → competitive-research-snapshot → competitive-intel-watch → battle-card-builder), evidence-cited strategy frameworks (swot-analysis, porters-five-forces, ansoff-matrix), monitors and miners (voice-of-customer-miner, pricing-packaging-tracker, pestel-delta-monitor), and the six-step umbrella competitive-analysis-process
- Upgraded:
tam-sam-som-calculator(three entry modes, including autonomous bottom-up research) andcompany-intel(Executive Signal Refresh rerun pattern — Then/Now diffs and Dropped Language: what leaders stop saying is often the strongest signal) - Library now at 70 skills · full story in the release note
v0.82 — July 8, 2026
- Added
incoming-request-advisor(Interactive) — drop in a Slack ping, email, mandate, or escalation and get a structured breakdown that separates the literal ask from the real job-to-be-done, reads sender power and stake, and points you toward a reply. Ships with a copy/paste template so you can run it by hand too - New: a browsable download shelf at
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Releases