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Agent Skill

Incoming Request Advisor skill

incoming-request-advisordeanpeters/Product-Manager-Skillsskills/incoming-request-advisor/SKILL.md

Decode 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.

7.6k

always on

42 tokname + description

once used

2,747 tokSKILL.md body

bundled files

26 KB

repo stars

7.6kGitHub

Install the Incoming Request Advisor skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill incoming-request-advisor

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/Product-Manager-Skills/skills/incoming-request-advisor ~/.claude/skills/incoming-request-advisor

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description42 tok
When the agent uses itThe SKILL.md instructions2,747 tok
Only if opened2 bundled files (6 KB)varies

Until it is used, incoming-request-advisor costs about 32× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 77 skills from deanpeters/Product-Manager-Skills would load 2,883 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Purpose
  • Input
  • Key Concepts
  • The Ask vs. the Job-to-Be-Done
  • The Sender Read: Power, Stake, Subtext
  • Success Criteria vs. Must-Haves (the distinction PMs blur)
  • Infer, Do Not Invent
  • Scale Depth to the Message
  • The Sticky-Note Rule
  • Facilitation Source of Truth
  • Application
  • Step 1 — Extract the message
  • Step 2 — Fill only the gaps that change the read
  • Step 3 — Render the breakdown
  • Step 4 — Open the conversation live
  • Examples
  • Example: The "quick" exec ping (full breakdown)
  • Example: One-line FYI (depth collapses)
  • Common Pitfalls
  • Pitfall 1: Breaking It Down Like a Spec
  • Pitfall 2: Blurring Success Criteria and Must-Haves
  • Pitfall 3: Inventing Instead of Inferring
  • Pitfall 4: Over-Filling a One-Liner
  • References

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