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- 2026년 6월 23일 12:15
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/majiayu000/claude-skill-registry --skill knowledge-activation명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| name | knowledge-activation |
| description | Activate mature .agents knowledge. |
| practices | ["wiki-knowledge-surface","pragmatic-programmer"] |
| hexagonal_role | supporting |
| consumes | [] |
| produces | [] |
| context_rel | [] |
| skill_api_version | 1 |
| user-invocable | true |
| context | {"window":"fork","intent":{"mode":"task"},"sections":{"exclude":["TASK"]},"intel_scope":"topic"} |
| metadata | {"tier":"knowledge","dependencies":["compile","harvest","flywheel"]} |
| output_contract | .agents/beliefs.md, .agents/playbooks/*.md, .agents/briefings/*.md |
Turn a mature .agents corpus into operator-ready knowledge surfaces.
Use this skill when the problem is no longer "capture more knowledge," but:
$compile remains the hygiene loop. knowledge-activation owns corpus operationalization.
Knowledge activation is the fourth step in the global-corpus workflow:
$harvest — gather artifacts from many rigs into ~/.agents/learnings/$compile — synthesize raw artifacts into .agents/compiled/$dream overnight — bounded compounding loop$knowledge-activation — lift compiled knowledge into playbooks,
beliefs, and runtime briefingsSee docs/skills-decision-tree.md for the full "which skill next?" decision table covering harvest, compile, dream, knowledge-activation, and quickstart.
This skill assumes the current workspace already has:
.agents/ directory.agents/scripts/ when ao knowledge activate needs to rebuild source manifests, topics, promoted packets, and chunk bundles from custom workspace logic.agents/harvest/latest.json, which ao knowledge activate can use as a native fallback to turn the latest harvest catalog into a harvested-praxis topic packet, promoted packet, and chunk bundleRead references/script-contracts.md for the required builder inventory and command ownership.
The stable product surface is the ao knowledge command family:
ao knowledge activate --goal "turn agents into usable information"
ao knowledge beliefs
ao knowledge playbooks
ao knowledge brief --goal "fix auth startup"
ao knowledge gaps
The skill owns routing, sequencing, interpretation, and next-step recommendations. ao owns the belief/playbook/brief/gap product surfaces directly.
ao lookup and ao codex start consume these outputs as operator context. Matched knowledge briefings are the preferred dynamic startup surface, while selected beliefs and healthy playbooks provide bounded supporting guidance.
Verify that .agents/ exists. When you plan to run ao knowledge activate, verify that at least one evidence substrate is present:
source_manifest_build.py, topic_packet_build.py, corpus_packet_promote.py, knowledge_chunk_build.py.agents/harvest/latest.jsonao knowledge beliefs, ao knowledge playbooks, ao knowledge brief, ao knowledge gapsRun the packet layers in order:
Read references/dag.md for the full DAG and its trust gates.
Refresh the promoted operator layers:
ao knowledge beliefs
ao knowledge playbooks
These should materialize the consumer surfaces under .agents/knowledge/ and .agents/playbooks/.
When there is an active objective, compile a bounded startup aid:
ao knowledge brief --goal "your goal here"
The briefing should stay small, cite its source surfaces, and include warnings when a selected topic is thin.
Run:
ao knowledge gaps
This reports thin topics, missing promotions, weak claims needing review, and the next recommended mining work.
If you want the complete pass in one step, run:
ao knowledge activate --goal "your goal here"
That command sequences evidence consolidation, belief/playbook refresh, optional briefing compilation, and a gap summary.
Read references/output-surfaces.md for the canonical output surfaces and trust boundaries.
The consumer-facing outputs are:
.agents/knowledge/book-of-beliefs.md.agents/playbooks/index.md.agents/playbooks/<topic>.md.agents/briefings/YYYY-MM-DD-<goal>.md.agents/retro/The substrate surfaces remain:
.agents/packets/.agents/topics/.agents/packets/chunks/catalog.jsonlActivate the full outer loop for an active goal
/knowledge-activation
ao knowledge activate --goal "productize knowledge activation"
Refresh only the belief and playbook promotion layers
ao knowledge beliefs
ao knowledge playbooks
Check whether the corpus is safe to promote
ao knowledge gaps
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