capx-ai/casa/casa-compound
Claude Code and agent skill by capx-ai/casa
- community
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-compoundSKILL.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
- If
company-brain/profile.jsondoes not exist, tell the founder to run /casa-start
first and stop.
- 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.
- Check for an existing entry. Search
company-brain/learnings.jsonlfor an
overlapping lesson. If one exists, update it rather than adding a near-duplicate.
- 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.
- 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.
- Link forward. Note in the relevant
decisions/orexperiments.jsonlentry 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-learningscan 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
- SKILL.md in the repositoryCheckingskills/casa-compound/SKILL.md
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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