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competitive-analysis-process

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项目 README

来源文件:README.md

抓取于 2026年8月2日

Product Manager Skills

GitHub stars License: CC BY-NC-SA 4.0 PRs Welcome Version Claude Code Plugin Skills

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║   70 battle-tested skills + 6 command workflows                    ║
║   Claude Code • Cursor • Codex  • n8n • OpenClaw • and more ...    ║
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║   v0.83 • July 17, 2026 • CC BY-NC-SA 4.0                          ║
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70 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

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

Career and leadership transitions

AI product work


Get Started

Choose your setup:

I use...Get thisNotes
Claude Desktop or Claude Webpm-skills-starter-pack.zipUnzip, then upload the individual skill ZIPs to Claude Skills
Claude CodePlugin marketplaceclaude /plugin marketplace add deanpeters/Product-Manager-Skills
Codexpm-skills-codex.zipInstalls .agents/skills and AGENTS.md
Not surepm-skills-starter-pack.zipStart here

All downloads: GitHub Releases

Themed packs for Claude Desktop / Web

Each pack below is a ZIP of upload-ready skill ZIPs — unzip, then upload individuals to Claude Skills:

PackDownloadWhat's inside
Starterpm-skills-starter-pack.zipCore skills across all categories
Discovery02-discovery-pack.zipResearch, interviewing, synthesis
Strategy03-strategy-pack.zipPositioning, roadmapping, prioritization
Delivery04-delivery-pack.zipPRDs, stories, epics
AI PM05-ai-pm-pack.zipContext engineering, orchestration, readiness
Market Intel06-market-intel-pack.zipThe full Market Intelligence Suite: disciplines, investigation chain, frameworks, monitors
All skills99-all-skills-pack.zipAll 70 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 70 skills with descriptions, or browse skills/ directly.


How a Skill File Works

Every SKILL.md follows the same structure:

SectionWhat it contains
Frontmattername, description, type, intent, best_for, scenarios
PurposeWhat this skill does and when to reach for it
InputWhat 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 ConceptsFrameworks, definitions, anti-patterns — with vocabulary explained
ApplicationStep-by-step instructions an agent (or human) can follow
ExamplesReal-world cases showing both good and bad versions
Common PitfallsNamed failure modes with consequences and corrections
ReferencesRelated 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

DocumentPurpose
Using PM Skills 101Beginner-friendly orientation — setup without technical overload
Platform Guides for PMsTool-by-tool setup chooser for every supported platform
Using PM Skills with ClaudeClaude Code + GitHub ZIP upload for Claude Desktop/Web
Using PM Skills with CodexLocal workspace + GitHub-connected Codex on ChatGPT
Using PM Skills with ChatGPTGitHub app, Custom GPT Knowledge, and Project-based usage
Using PM Skills with Slash Commands 101Turn skills into reusable slash commands like /pm-story
Add-a-Skill Utility GuideEnd-to-end guide for generating and validating new skills
Market Intelligence Suite SummaryThe 14-skill competitive/market research suite: disciplines, chain, and which skill to run when
Building PM SkillsHow raw PM content gets distilled into agent-ready skills
START_HERE.md60-second onboarding for local repo users

What's New

v0.83 — July 17, 2026 · The Market Intelligence Suite

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 /dist — no terminal, no Releases tab. Read the plain-language README, scan the CATALOG, and download any skill or pack straight from the repo. Built for PMs who just want the skills
  • Library now at 70 skills

v0.81 — July 4, 2026

  • Every skill now has a required ## Input section: what to bring, what happens to context you supply up front (it's used, not re-asked), and reassurance that arriving empty-handed is fine — the guided flow covers the rest
  • Added argument-hint autocomplete for Claude Code users; deliberately no $ARGUMENTS templating — it breaks on every other runtime and teaches the reader nothing (why)
  • Validator now enforces the convention: skills fail without an Input section or with bare $ARGUMENTS in the body
  • Streamlit playground shows each skill's "What to bring (all optional)" before you start a session
  • Restored agent-orchestration-advisor (Interactive) — the multi-agent workflow design skill was referenced everywhere but only existed on an orphaned commit; recovered from git history and brought up to current standards

v0.80 — June 19, 2026

  • Added stakeholder-identification (Component) — comprehensive stakeholder brainstorm using allies/audiences/influencers, R/P/D marking, equity lens, and bias check; narrows to priority targets
  • Added stakeholder-mapping (Component) — two complementary grids (Power × Interest + Impact × Power); comparing outputs reveals who you're under-engaging relative to how much the product affects them
  • Added stakeholder-engagement-advisor (Interactive) — per-stakeholder engagement planning via Adaptive Decision Ladder: three questions on profile, power/impact, and context deliver tailored message framing, medium, cadence, and a named next action

All three adapted from the MITRE Innovation Toolkit via the companion repo MITRE ITK Skills — worth a bookmark if you work in discovery, facilitation, or cross-functional product strategy.

v0.79 — May 15, 2026

  • Added organic-growth-advisor — McKinsey Growth Pyramid triage for new segments, geographies, channels, or products
  • Added pm-skill-creator — interactive skill for designing repo-compliant skills via guided conversation
  • Fixed missing .claude-plugin/plugin.json that silently blocked Claude Code skill discovery
  • Added configurable input length guard (PM_MAX_INPUT) and path traversal protection to helper scripts

→ Full changelog


Contributing

Found a gap? Have a PM framework worth formalizing? The bar is pedagogic — skills must teach the why, not just the how.

See CONTRIBUTING.md for guidelines, or open an issue to start a conversation.


License

CC BY-NC-SA 4.0 — non-commercial use with share-alike.

Everything in this repository — every skill, template, and doc — is licensed CC BY-NC-SA 4.0. There is no mix of licenses here.

Some skills note in their Provenance sections that they were adapted from product-manager-prompts, Dean's earlier prompt library. That repo has the same author, so there is no license conflict: a license grants permissions to other people, and a copyright holder is free to adapt and relicense their own work. Those Provenance lines are lineage — a breadcrumb back to where an idea started — not a license dependency. No third-party MIT-licensed text is incorporated anywhere in this library.

In plain terms:

  • ✅ Use these skills in your day job — at a for-profit company, with your team, in your agents. That's what they're for.
  • ✅ Adapt and remix them — share what you build under this same license, with credit.
  • ✅ Teach with them — workshops, brown bags, mentoring, sending the ladder down.
  • ❌ Don't sell them — no repackaging the skills themselves into a paid product, course, or service without expressed written permission.
  • 🤔 Not sure your use qualifies? Open an issue and ask. If you're using these in the spirit they were built — to get better at the craft and help others do the same — the answer is almost certainly yes.

The companion prompt library, product-manager-prompts, carries the same CC BY-NC-SA 4.0 license as of its v2.3.0, with its own plain-language permissions (stricter on commercial use) — see its LICENSING.md, which governs that repo.


Questions

数据与 AI

低风险

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:0 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/competitive-analysis-process" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/competitive-analysis-process" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/competitive-analysis-process" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/competitive-analysis-process" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/competitive-analysis-process" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: competitive-analysis-process
argument-hint: "[competitor set or market, and the decision this analysis supports]"
description: "Orchestrate 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."
intent: >-
  The umbrella workflow for competitive analysis: six analytical steps — landscape overview, product
  comparison, customer-need fulfillment, business baseline, perception and positioning, strategic
  direction — each grounded in named frameworks and delegated to the right investigation skill, ending
  in the four output artifacts that make the work actionable.
type: workflow
theme: market-intelligence
best_for:
  - "Running a complete competitive analysis instead of a one-off scan"
  - "Sequencing the market-intelligence skills into one coherent engagement"
  - "Choosing which analytical step (and which framework) a competitive question actually needs"
scenarios:
  - "New fiscal year, new strategy cycle — run the full competitive analysis on our space"
  - "I've got scattered competitive research everywhere; give me the process that organizes it"
estimated_time: "1-2 weeks calendar time; each step is a 20-45 min working session"

Competitive Analysis Process

Purpose

Orchestrate rigorous, repeatable competitive analysis across six analytical steps, producing four actionable output types (battle cards, comparison matrices, positioning counter-moves, threat assessments). This is the umbrella: each step names its purpose, its frameworks, and the skill that does the work — the way discovery-process orchestrates the discovery skills. Run all six for a strategy cycle; run one when a specific question walks in the door. The steps build on each other, but the sequence bends to the decision.

Input

Works best with: the market or competitor set in scope, and the decision this analysis supports — a roadmap bet, a positioning refresh, a market entry, deal defense. The decision determines which steps get depth and which get a pass. Also useful: any existing intelligence — a prior landscape scan, snapshots, battle cards, or company-intel output — so steps consume rather than repeat it.

Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it; don't re-ask.

Arriving empty-handed? That works too. The workflow opens by asking what decision is on the table and what you already know, then recommends which steps to run and in what order.

Example invocation: Run the competitive analysis process on the mid-market payroll space — decision: whether we defend down-market or push up. We have last quarter's landscape scan.

Key Concepts

  • Six steps, four outputs. The steps are analytical lenses; the outputs (battle cards, comparison matrices, positioning moves, threat assessments) are what sales, execs, and roadmap owners actually consume. A step that doesn't feed an output is a detour.
  • Steps delegate; this skill orchestrates. Each step below names the skill that does the work. This file holds the sequence, the frameworks, and the decision points — not the research mechanics.
  • Evidence discipline throughout. Every step honors the autonomous-investigation protocol (Fact/Inference/Assumption labels, real URLs, confidence stacking), drawing signals from the channels in intelligence-collection-disciplines.
  • Named frameworks, cited. Each step stands on published strategy work — Porter's Five Forces, the Kano model, Jobs-to-be-Done, the Business Model Canvas, Ries & Trout positioning, Hamel & Prahalad strategic intent. The frameworks are defined where used; agents shouldn't assume prior knowledge.
  • Present ≠ future. Steps 1-5 read where competitors are; Step 6 reads where they're going — and it's the step most teams skip, which is why they're perpetually surprised.

Application

Step 0 — Scope. Confirm the decision, the competitor set (or run market-landscape-scan to find it), and which steps matter. Offer the six steps as a numbered menu; recommend a subset when the decision doesn't need all six.

Step 1: Overview of the Competitive Landscape

Who's in the game, where, and how they operate — market saturation, fragmentation, disruptive entrants.

  • Frameworks: Porter's Five Forces (industry structure); strategic group mapping (clustering competitors by GTM model, innovation pattern, or regional depth); market fragmentation indexing.
  • Run: market-landscape-scan — segments, player map, dynamics, whitespace with the dead-zone test.
  • Decision point: which 2-4 players deserve depth? Everything downstream narrows to them.

Step 2: Comparisons at the Product Level

Beyond feature lists: value delivery, architecture, interoperability, lifecycle maturity.

  • Frameworks: Kano model (which features delight vs. merely satisfy); Geoffrey Moore's Whole Product model (core product vs. the ring of services and integrations deals actually hinge on); JTBD-based capability maps (compare by customer job, not by feature name).
  • Run: competitive-research-snapshot on the selected players — its comparison matrix is this step's artifact.
  • Watch for: feature parity theater. A capability map by job-to-be-done exposes what a feature checklist hides: two "identical" features serving different jobs badly.

Step 3: Ability to Fulfill Customer Needs

How well they serve real customers — outcomes, support quality, ecosystem benefits — not tech specs.

  • Frameworks: Outcome-Driven Innovation (score against customer-defined outcomes); Value Proposition Canvas (their promise vs. the jobs/pains/gains that matter).
  • Run: voice-of-customer-miner across the sources your buyer reads — need themes, quoted verbatims, competitor weak points, and switching triggers, each with a source-bias note.
  • Watch for: vendor-authored "reviews" and case studies. Independent complaint clusters are the signal; curated success stories are marketing.

Step 4: Compilation of Business Information

The financial, organizational, and market baseline: structure, revenue streams, growth levers, channels.

  • Frameworks: Business Model Canvas (how the whole machine fits together); revenue stream breakdown; sales channel profiling (direct vs. OEM vs. VAR vs. platform).
  • Run: company-intel per deep-dive competitor — its eleven-section output (financials, offers, org signals) is this step's artifact; FININT sources per intelligence-collection-disciplines do the heavy lifting.
  • Watch for: press-release accounting. Filings and earnings calls outrank announcements — companies lie less where lying is a felony.

Step 5: Perception and Relative Positioning

How buyers perceive you versus them — in promise, emotion, and mental association, not capability.

  • Frameworks: Ries & Trout positioning theory (the battle is for the buyer's mind); perceptual mapping (price vs. value-perception plots; find the uncontested space); Blue Ocean strategy canvas.
  • Run: contrast their stated positioning (Step 2 snapshots) against customer language (Step 3 review mining); draft or revise with positioning-statement.
  • Watch for: the promise-delivery gap — where a competitor's marketing writes checks their reviews say they don't cash. That gap is a positioning counter-move waiting to be claimed.

Step 6: Competitors' Strategic Direction

Where they're going, not where they are — the step that lets you preempt instead of react.

  • Frameworks: Hamel & Prahalad's strategic intent (read the ambition behind the moves); the Innovation Ambition Matrix (core/adjacent/transformational mix of their bets).
  • Run: the forward-looking disciplines in intelligence-collection-disciplines — TECHINT (patent clusters, trademark filings, preprints), HUMINT (hiring surges, leadership moves), FININT (earnings language, M&A themes), MASINT (supply chain, facility buildout) — fused via the confidence-stacking rule. competitive-intel-watch keeps this step running on a cadence after the initial pass.
  • Watch for: single-signal panic. One patent is exploration; a cluster plus a hiring surge plus a subdomain cert is a committed bet. Stack before you brief.

Step 7: Produce the Outputs

Close by building what the audience consumes — offer as a numbered menu:

  1. Battle cards for the field — battle-card-builder
  2. Executive comparison matrix — from Step 2's snapshot
  3. Positioning counter-moves — from Step 5's gap analysis
  4. Threat assessment brief — Step 6's fused signals, with confidence levels and recommended responses

Then set the maintenance cadence: competitive-intel-watch on the schedule the artifact mapping in intelligence-collection-disciplines prescribes (weekly SIGINT layer for cards, quarterly deep passes for direction).

A copy/paste engagement tracker for all seven steps lives in template.md.

Examples

Scoping to the decision (fictional): the decision is deal defense against one rival in enterprise deals. The right subset is Steps 2, 3, and 5 on that one competitor, straight into a battle card — Steps 1, 4, and 6 add days, not win-rate. The orchestrator's value is permission to skip: "Based on your decision, I recommend Steps 2→3→5 only. Run the full six?

  1. Yes, deal defense scope (2, 3, 5 → battle card)
  2. Add Step 6 — they've been acquiring lately and I want the direction read
  3. Full six-step pass
  4. Something else"

Step 6 catching what Steps 1-5 missed: the present-state read shows a competitor stable and mid-pack. The direction pass finds a patent cluster in a new classification, four platform-engineer postings, and an earnings call where the CFO declined to break out R&D — three disciplines, one story: a platform pivot in progress. The threat assessment brief re-ranks them from "monitor" to "act," a quarter before their announcement would have forced a reactive scramble.

See examples/sample.md for a complete worked engagement (fictional FSM-software market) showing the orchestration decisions — scoping menu, recorded skips, and step-to-step compounding — with links into the delegated skills' own worked artifacts. examples/sample-industrial.md shows the umbrella bending — steps merged, one run out of order, cadence slowed — with each call's reasoning stated.

Common Pitfalls

  • Running all six on autopilot. The steps are a menu, not a mandate. Scope to the decision or the analysis ships after the decision got made without it.
  • Skipping Step 6. Present-state analysis ages the moment it ships; direction analysis is what buys you a quarter of lead time. Teams that skip it are perpetually surprised on launch day.
  • Framework name-dropping. Citing Five Forces without rating the forces, or Kano without classifying a single feature. A framework earns its mention by producing a judgment.
  • Analysis without outputs. Six beautiful steps and no battle card, no matrix, no brief. Step 7 isn't optional — research is only done when it names the artifact it changes.
  • One-time heroics. A grand annual analysis that's stale by month three. The process ends by installing the watch cadence, or it didn't end — it just stopped.

References

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