Compound logo

Compound

Community
oliver-kriska
compound

Capture solved problems as searchable solution docs. Use after fixing bugs, when "that worked", or after successful /phx:review or /phx:investigate.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namecompound
Stars
555
Forks
40
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by oliver-kriska on GitHub. Read the source before you install it.

Installation

Install the Compound AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/oliver-kriska/claude-elixir-phoenix.git /tmp/claude-elixir-phoenix
mkdir -p .claude/skills
cp -r /tmp/claude-elixir-phoenix/plugins/elixir-phoenix/skills/compound .claude/skills/compound
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Compound in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Compound on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Compound is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Compound — Capture Solutions as Knowledge

After fixing a problem, capture the solution as searchable institutional documentation.

Usage

/phx:compound Fixed N+1 query in user listing
/phx:compound Resolved LiveView timeout in dashboard
/phx:compound   # Auto-detects from recent session context

Philosophy

Each unit of engineering work should make subsequent units easier — not harder.

Workflow

Step 1: Detect Context

  1. If $ARGUMENTS provided, use as description
  2. If no args, check scratchpad DEAD-END/DECISION entries, git diff, .claude/plans/{slug}/progress.md for recent completions
  3. If unclear, ask: "What problem did you just solve?"

Only document non-trivial problems that required investigation.

Step 2: Search Existing Solutions

Create .claude/solutions/ directory if it doesn't exist (run mkdir -p .claude/solutions). Then search .claude/solutions/ for relevant keywords using Grep.

If found: Create new (different root cause), Update existing (same root cause, new symptom), or Skip.

Step 3: Gather Details and Create Solution

Extract from session context: module, symptoms, investigation steps, root cause, solution code, and prevention advice.

Validate frontmatter against ${CLAUDE_PLUGIN_ROOT}/skills/compound-docs/references/schema.md, then create file using ${CLAUDE_PLUGIN_ROOT}/skills/compound-docs/references/resolution-template.md.

Write-blocked fallback: if writing to .claude/solutions/ is denied by permissions, do NOT silently drop the solution. Output the full solution doc inline (fenced markdown the user can paste), then suggest /phx:permissions to allow .claude/solutions/ writes for next time.

Step 4: Decision Menu

  1. Continue (default)
  2. Promote to Iron Law check — Add to iron-law-judge
  3. Update skill reference — Add to relevant skill
  4. Update CLAUDE.md — Add prevention rule

Auto-Trigger Phrases

When user says "that worked", "it's fixed", "problem solved", "the fix was" — suggest /phx:compound.

Supply-chain finding auto-feed (Phase 3)

When /phx:deps-audit produces a BLOCK-severity finding that the user investigates and confirms is a real malicious pattern (not a false positive), suggest:

Caught a high-severity finding in <pkg>@<version>. Run /phx:compound to capture this for future audits?

If accepted, the resulting solution doc goes to .claude/solutions/supply-chain/<pkg>-<cve_or_pattern>.md and includes the exact rule-id + snippet + diff window that triggered the finding. This compounds the audit corpus: future runs of /phx:deps-audit grep solutions/supply-chain/ for snippet matches and pre-elevate severity on known-bad patterns.

Always prompt; never auto-write. Solution docs are durable and shape future trust calls — the user reviews before committing.

Iron Laws

  1. YAML frontmatter validates or STOP
  2. Symptoms must be specific — not "it broke"
  3. Root cause is WHY, not WHAT
  4. One problem per file
  5. NEVER document a fix before verifying it works — run mix compile && mix test first; unverified solutions poison the knowledge base

Integration with Workflow

text
/phx:review → Complete → /phx:compound  ← YOU ARE HERE
                 .claude/solutions/{category}/{fix}.md
              /phx:investigate and /phx:plan search here

References

  • ${CLAUDE_SKILL_DIR}/references/compound-workflow.md — Detailed step-by-step
  • See also: compound-docs skill for schema and templates

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Compound AI skill do?

Capture solved problems as searchable solution docs. Use after fixing bugs, when "that worked", or after successful /phx:review or /phx:investigate.

Why use Compound on TypingMind?

Because you install it once and use it with any model. Compound is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Compound in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/plugins/elixir-phoenix/skills/compound. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Compound?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Compound?

As many as you like. As long as a model supports skills, you can use Compound with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Compound AI skill free?

Yes. It is published on GitHub by oliver-kriska under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇