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Agent Skill

Context Engineering Advisor skill

context-engineering-advisordeanpeters/Product-Manager-Skillsskills/context-engineering-advisor/SKILL.md

Diagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, or hard to steer reliably.

7.6k

always on

31 tokname + description

once used

6,906 tokSKILL.md body

bundled files

0

repo stars

7.6kGitHub

Install the Context Engineering Advisor skill

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

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill context-engineering-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/context-engineering-advisor ~/.claude/skills/context-engineering-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 description31 tok
When the agent uses itThe SKILL.md instructions6,906 tok
Only if openedNo bundled files—

Until it is used, context-engineering-advisor costs about 44× 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

  • The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.
  • The instructions are over 500 lines; the specification suggests moving detail into reference files.

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 Paradigm Shift: Parametric → Contextual Intelligence
  • Context Stuffing vs. Context Engineering
  • The Anti-Pattern: Context Stuffing
  • Real Context Engineering: Core Principles
  • The 5 Diagnostic Questions (Detect Context Hoarding Disorder)
  • Memory Architecture: Two-Layer System
  • The Research → Plan → Reset → Implement Cycle
  • Anti-Patterns (What This Is NOT)
  • When to Use This Skill
  • Facilitation Source of Truth
  • Application
  • Step 0: Gather Context
  • Step 1: Diagnose Context Stuffing Symptoms
  • Step 2: Diagnostic Question 1 — What Specific Decision Does This Support?
  • Step 3: Diagnostic Question 2 — Can Retrieval Replace Persistence?
  • Step 4: Diagnostic Question 3 — Who Owns the Context Boundary?
  • Step 5: Diagnostic Question 4 — What Fails if We Exclude This?
  • Step 6: Diagnostic Question 5 — Are We Fixing Structure or Avoiding It?
  • Step 7: Define Memory Architecture
  • Step 8: Implement Research → Plan → Reset → Implement Cycle
  • Step 9: Action Plan & Next Steps

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