knowledge-compound

Document solutions, decisions, and learnings into a searchable knowledge base. Use when the user says "document this", "compound this", "save this solution", "capture this", or after completing significant work that uncovered reusable knowledge.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "knowledge-compound" with this command: npx skills add elliottrjacobs/bench-skills/elliottrjacobs-bench-skills-knowledge-compound

/knowledge-compound — Document Solutions & Learnings

Capture solutions, decisions, and learnings into a searchable knowledge base at docs/solutions/. Makes every unit of work compound into future productivity.

When to Use

  • After solving a tricky bug
  • After making an architectural decision
  • After a session with useful discoveries
  • User says "document this", "compound this", "save this"
  • After completing /engineer-work or /engineer-review

Process

Step 1: Determine What to Document

Ask the user what they want to capture:

AskUserQuestion:
  question: "What would you like to document?"
  options:
    - "A problem and its solution"
    - "An architectural decision"
    - "A pattern or technique I discovered"
    - "A session summary (multiple learnings)"

Step 2: Gather Context

Based on the type:

Problem/Solution:

  • What was the problem? (symptoms, error messages)
  • What caused it? (root cause)
  • What fixed it? (the solution with key code)
  • What didn't work? (dead ends worth documenting)
  • How to prevent it? (prevention strategy)

Architectural Decision:

  • What was the decision?
  • What options were considered?
  • Why was this option chosen? (rationale)
  • What are the tradeoffs?
  • When would you revisit this?

Pattern/Technique:

  • What is the pattern?
  • When should it be used?
  • Example implementation
  • Gotchas or edge cases

Session Summary:

  • What were the key decisions made?
  • What problems were encountered and solved?
  • What patterns were established?
  • What's left to do?

If context is available from the current conversation (recent problem-solving, code changes), extract it automatically and confirm with the user rather than asking from scratch.

Step 3: Write the Document

Use the solution template from references/solution-template.md.

YAML frontmatter is critical — it enables future searchability:

---
title: "Clear, searchable title"
date: YYYY-MM-DD
category: auth|database|api|ui|state|navigation|performance|testing|deployment|typescript|tooling|architecture|mobile|general
tags: [minimum 2, maximum 8 relevant tags]
difficulty: low|medium|high
applicability: specific|moderate|broad
---

Category selection rules:

  • Choose the most specific matching category
  • If multi-category, choose the root cause category
  • Use tags for secondary categories

Step 4: Save

Save to docs/solutions/YYYY-MM-DD-<slug>.md where slug is a short, descriptive kebab-case name.

If docs/solutions/ doesn't exist, create it.

Step 5: Confirm

Show the user the file path and a brief summary of what was captured. Suggest related skills:

  • Want to create a plan from this? → /engineer-plan
  • Want to continue building? → /engineer-work
  • More to document? → Run /knowledge-compound again

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

product-prd

No summary provided by upstream source.

Repository SourceNeeds Review
General

product-tech-spec

No summary provided by upstream source.

Repository SourceNeeds Review
General

engineer-plan

No summary provided by upstream source.

Repository SourceNeeds Review
General

engineer-review

No summary provided by upstream source.

Repository SourceNeeds Review