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incoming-request-advisor

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

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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

其他

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。
  • 未检测到明显外部权限要求。
  • 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/incoming-request-advisor" 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/incoming-request-advisor" 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/incoming-request-advisor" 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/incoming-request-advisor" 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/incoming-request-advisor" 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: incoming-request-advisor
argument-hint: "[paste or describe the incoming message + who sent it]"
description: "Decode an incoming message into a structured breakdown that separates the literal ask from the job-to-be-done. Use before replying to a loaded Slack ping, email, mandate, or escalation."
intent: >-
  Act as a chief-of-staff-grade analyst that decodes an incoming message into a structured breakdown, separating the literal ask from the job-to-be-done underneath it, reading sender power and stake from a product leader's chair, and opening the conversation toward a reply or next artifact. Trains the PM habit of finding the outcome before responding.
type: interactive
theme: stakeholder-comms
best_for:
  - "Triaging a loaded exec escalation before you fire back a reply"
  - "Decoding a vague feature request into the outcome underneath it"
  - "Reading power, stake, and subtext in a request from someone senior"
scenarios:
  - "My VP just Slacked me 'can we get the dashboard redesign into next sprint?' and I need to read what's really going on"
  - "I got a long escalation email from a frustrated customer-success lead and I don't know how to respond"
  - "A stakeholder sent a mandate that sounds like a build order and I want the job-to-be-done first"
estimated_time: "5-10 min"

Purpose

Decode an incoming message — a Slack ping, email, mandate, escalation, or FYI — into a structured breakdown before you respond. This skill acts as a chief-of-staff-grade analyst sitting in a product leader's chair: it separates the literal ask from the job-to-be-done underneath it, reads sender power and stake, and opens the conversation toward a reply or next artifact.

Use it when a request lands and your first instinct is to answer the words on the screen. The skill slows that reflex down: it finds the outcome, for whom, and why now — not how to build. It is not a programmer breaking down a spec. When a request sounds like a feature or a build order, the skill hunts for the outcome and the job-to-be-done beneath it.

Input

Works best with: The incoming message itself — pasted text, a screenshot, an image, an attached file, or a PDF. The skill extracts the full message from whatever form it takes before analyzing.

Also useful:

  • Who sent it and their apparent role relative to your work (upstream, peer, downstream)
  • The situation or thread the message arrived in
  • What you want next — analysis only, or a drafted reply too

Anything supplied with the invocation itself — text after the skill name, the pasted message, surrounding notes, or an appended ARGUMENTS: line — counts as answers already given. Treat anything written around the message as sender or situation context. Use it and skip whatever it covers; don't re-ask.

Arriving empty-handed? That works too. Drop in the message and nothing else. If sender or situation is unknown and it changes the read, the advisor asks at most 3 targeted questions, one at a time, then proceeds with clearly labeled assumptions. If part of the message is unreadable or cut off, the advisor says so and works with what is there.

Example invocation: My VP DM'd me: "Any chance the dashboard redesign lands next sprint? Board's asking." Analyze this before I reply.

Key Concepts

The Ask vs. the Job-to-Be-Done

The literal ask is what the words request. The job-to-be-done is the outcome the sender is actually chasing. "Can we get the dashboard redesign into next sprint?" is the ask; "I need something concrete to show the board that we're responsive" may be the job. Responding to the ask when the job is different is how PMs build the wrong thing fast. Every breakdown separates these two explicitly.

The Sender Read: Power, Stake, Subtext

Before you respond, you read the room. Who sent it, what is their role relative to your work, and are they upstream (they set your priorities), a peer (they need your cooperation), or downstream (they depend on your output)? Power and stake change the correct response even when the words are identical. A "quick question" from your CEO is not a quick question.

Success Criteria vs. Must-Haves (the distinction PMs blur)

These are not the same thing, and conflating them is a classic PM error:

  • Success criteria = how the sender will judge whether the result worked (the pass/fail bar, the metric, the definition of done)
  • Must-haves = what has to go into the deliverable (the hard requirements)

A deliverable can hit every must-have and still fail the success criteria. Keeping them separate is a core teaching of this skill.

Infer, Do Not Invent

The skill reasons from evidence in the message and marks every guess as an inference. It never presents a guess as a stated fact. Everything inferred lands in an explicit Assumptions to Validate list at the end — so the human knows exactly what the analysis rests on.

Scale Depth to the Message

The breakdown has twelve sections, but a one-line ping does not need all twelve. The skill collapses or skips empty sections and marks them "none stated" where the template calls for it. Over-filling a trivial message with twelve dense sections is a failure mode, not thoroughness.

The Sticky-Note Rule

Every bullet in the breakdown is 4 to 8 words, ASCII only, short and scannable — as if written on a sticky note. Direct quotes from the message are verbatim and exempt from the length rule.

Facilitation Source of Truth

Use workshop-facilitation as the default interaction protocol for this skill.

It defines:

  • session heads-up + entry mode (Guided, Context dump, Best guess)
  • one-question turns with plain-language prompts
  • crediting inline invocation context so answered questions are skipped
  • interruption handling and pause/resume behavior

For this skill specifically: the pasted message is the context dump. Ask clarifying questions only when sender or situation is genuinely unknown and it changes the read — at most 3, one at a time.

Application

Step 1 — Extract the message

Pull the full message from whatever form it arrives in (screenshot, image, file, PDF, or text) before analyzing. If any part is unreadable or cut off, say so and work with what you have.

Step 2 — Fill only the gaps that change the read

If sender identity or situation is unknown and it would change the analysis, ask at most 3 targeted questions, one at a time:

  1. "Who sent this and what is their role relative to your work?"
  2. "What is the situation or thread this arrived in?"
  3. "Do you want analysis only, or a drafted reply too?"

Then proceed with clearly labeled assumptions. Do not ask questions the message already answers.

Step 3 — Render the breakdown

Render in Markdown using the structure below. Scale depth to the message: collapse or skip any empty section; mark it "none stated" where the template calls for it. Apply the Sticky-Note Rule (4–8 word bullets, ASCII only; verbatim quotes exempt). Use template.md for the copy/paste fill-in structure a PM can work through by hand.

## Incoming Request Breakdown

### 1. Classify
- Message type and channel, one line
- Types: meeting prep, feedback, feature request, mandate, escalation, FYI, ask for help, other

### 2. Sender Read
- Who sent it, apparent role
- Relationship: upstream, peer, or downstream
- Power and stake where they matter

### 3. Literal Ask
- What they explicitly want, plain terms

### 4. Underlying Problem Space
- The job they are trying to get done
- The outcome behind the request
- Separate the ask from the need

### 5. Sentiment and Subtext
- Tone, urgency, frustration, enthusiasm, politics
- Quote the tell if there is one

### 6. Must-Haves vs Nice-to-Haves
- Hard requirements for the deliverable
- Soft preferences, clearly separated

### 7. Hard Negatives
- What they explicitly do not want
- "None stated" if none

### 8. Success Criteria
- Pass/fail bar, metric, or definition of done
- How they will judge the result worked
- Capture only what is stated; mark implied ones as inference
- "None stated" if none

### 9. Hard Constraints
- Drop-dead dates, budget, non-negotiables
- "None stated" if none

### 10. Gaps and Ambiguities
- What is unclear or missing before committing

### 11. Risks
- Scope, expectation, political, timeline landmines

### 12. Recommended Next Steps
- 2 to 4 concrete moves, ordered

### Assumptions to Validate
- [Anything inferred rather than stated]
- [Sender read or intent guessed]
- [Success criteria or constraints implied]

Step 4 — Open the conversation live

After rendering, ask the 1 to 3 sharpest questions you need to sharpen the recommendation, then offer exactly 4 next options:

  1. Draft a reply to the sender (Recommended)
  2. Build a meeting agenda for this ask
  3. Reframe the ask as a discovery framing
  4. Draft a counter-proposal that protects the outcome

Ask the user to reply with 1, 2, 3, 4, a combination like 1 and 3, or a custom path.

Examples

See examples/conversation-flow.md for a full end-to-end interaction, including message extraction, gap-filling, the rendered breakdown, and the closing options.

Example: The "quick" exec ping (full breakdown)

Message pasted: "Any chance the dashboard redesign lands next sprint? Board's asking." — from the VP of Product.

Agent output (abridged):

  • Classify: Feature request, Slack DM
  • Sender Read: VP of Product; upstream; high power, high stake
  • Literal Ask: Ship dashboard redesign next sprint
  • Underlying Problem Space: Needs board-ready proof of responsiveness (inference)
  • Success Criteria: Something showable at board meeting — not the full redesign (inference)
  • Risks: Committing to scope to satisfy a timeline; "next sprint" anchors expectations
  • Recommended Next Steps: Confirm what the board actually needs; offer a demoable slice

Then: "Is the board meeting date fixed? Do they need working software or a credible plan?" → offers the 4 options, recommends 4 — counter-proposal that protects the outcome (a demoable slice beats an over-committed full redesign).

Example: One-line FYI (depth collapses)

Message pasted: "Heads up — legal signed off on the new terms." — from a peer PM.

Agent output: Classify (FYI, Slack) + Sender Read + Literal Ask only. Sections 4–11 marked "none stated." Recommended Next Step: acknowledge, file for the launch checklist. No twelve-section wall for a one-liner.

Common Pitfalls

Pitfall 1: Breaking It Down Like a Spec

Symptom: Treating a feature-shaped request as a build order and jumping to implementation tasks.

Consequence: You optimize the wrong thing efficiently. You solve the ask and miss the job, then wonder why the sender is still unhappy after you delivered exactly what they said.

Fix: Always run Section 4 (Underlying Problem Space). Name the outcome and the job-to-be-done before touching "how."

Pitfall 2: Blurring Success Criteria and Must-Haves

Symptom: Listing "the dashboard must have export" under the same heading as "they'll judge this by whether the board is reassured."

Consequence: You build a deliverable that ticks every requirement and still fails the real bar. The two answer different questions — what goes in vs. how they judge it.

Fix: Keep Sections 6 and 8 strictly separate. Ask yourself: is this a thing in the box, or the ruler they measure the box with?

Pitfall 3: Inventing Instead of Inferring

Symptom: Presenting a guess about the sender's motive as if the message stated it.

Consequence: The human acts on fabricated certainty, walks into the room wrong, and loses trust when the assumption cracks.

Fix: Mark every guess as an inference and surface it in Assumptions to Validate. If you didn't read it in the message, it's an assumption — label it.

Pitfall 4: Over-Filling a One-Liner

Symptom: Rendering all twelve sections for a two-sentence FYI.

Consequence: Analysis theater. The reader can't find the signal, and the breakdown looks rigorous while adding nothing.

Fix: Scale depth to the message. Collapse empty sections; mark "none stated." A one-line ping earns a one-paragraph read.

References

Related Skills

Source Material

  • Original prompt "Incoming Request Breakdown" by Dean Peters (July 8, 2026)

License

  • CC BY-NC-SA 4.0 (repository license)

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