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Agent Skill

Eol Process skill

eol-processdeanpeters/Product-Manager-Skillsskills/eol-process/SKILL.md

Run a product sunset end to end — decide, align, plan, prepare, announce, close. Use when you need the whole EOL process, not just one artifact.

7.6k

always on

39 tokname + description

once used

4,810 tokSKILL.md body

bundled files

321 KB

repo stars

7.6kGitHub

Install the Eol Process skill

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

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill eol-process

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/eol-process ~/.claude/skills/eol-process

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 description39 tok
When the agent uses itThe SKILL.md instructions4,810 tok
Only if opened3 bundled files (21 KB)varies

Until it is used, eol-process costs about 35× 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.

  • EOL Process
  • Purpose
  • Input
  • Key Concepts
  • The Six Phases
  • This Is a Route, Not a Pipeline
  • Right-Size the Whole Process
  • Entering Mid-Stream
  • Facilitation Source of Truth
  • Anti-Patterns (what this is NOT)
  • Application
  • Phase 1: Decide
  • Activities
  • Outputs
  • Decision Point 1: Is this a Go, and is the landing place real?
  • Phase 2: Align
  • Activities
  • Outputs
  • Decision Point 2: Did anything invalidate the decision?
  • Phase 3: Plan
  • Activities
  • Outputs
  • Decision Point 3: Is every item owned, and is every date real?
  • Phase 4: Prepare

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