capx-ai/casa/casa-compound

Claude Code and agent skill by capx-ai/casa

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

Save a lesson the company learned so the next run starts smarter. Writes what worked, what did not, and the guidance for next time into the company's memory, where future sessions will find it. Use after solving something non-obvious, closing an experiment, or finishing a hard task worth not relearning.

Install

npx vskill@latest install capx-ai/casa/casa-compound

SKILL.md

casa-compound

The compounding craft. Each unit of work should make the next easier. This captures what was learned, while it is fresh, in a form the next session can find.

Steps

  1. If company-brain/profile.json does not exist, tell the founder to run /casa-start

first and stop.

  1. Capture while fresh. Identify the lesson: what problem, what was tried, what

actually worked, what did not, and the guidance for next time (repeat this, avoid that). Pull specifics from the session, decisions/, and experiments.jsonl.

  1. Check for an existing entry. Search company-brain/learnings.jsonl for an

overlapping lesson. If one exists, update it rather than adding a near-duplicate.

  1. Write the learning. Append a structured record to

company-brain/learnings.jsonl with: a short title, the context, what worked, what did not, the reusable guidance, the tags (domain, level, playbook id), and the date. For a substantial lesson, also write a short markdown note under company-brain/playbooks/<slug>.md.

  1. Keep it discoverable. If a new domain of learning appeared, make sure the company

CLAUDE.md points future sessions at the store (edit inside the AUTO markers only). A learning no future agent finds did not compound.

  1. Link forward. Note in the relevant decisions/ or experiments.jsonl entry that a

learning was recorded, so the thread is traceable.

Rules

  • Capture while the context is fresh; a lesson written a week later loses the detail

that made it useful.

  • Update over duplicate. One good entry per lesson, not five overlapping ones.
  • Every learning is tagged and dated so casa-learnings can retrieve it.
  • No em-dashes, no emojis.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
74
Repository forks
3
7-day trend score
22

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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