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Cognee offloading helper. Writes a full artifact (research output, decision record, long finding) to the Cognee graph and returns a compact summary plus the node id for the context window. Use to keep context lean — full content in the graph, summaries in context.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
How Baruch records the terminal output of a research run — the contract-bound research-log shape, when to write a Cognee node and when not to, the curated-library-match short circuit, and the discipline of being a faithful carrier. Invoke when emitting a research-log entry, when the Cognee write decision is in scope, or when an upstream stage returned malformed input.
Promote knowledge into Cognee by blast radius. Routes a learning to the right tier — agent-private (stays in MEMORY.md), team-level (team rules + topic files, Team Lead decides), or cross-harness (Cognee project graph, Nehemiah + Bezalel at sprint close). Use when an agent has a learning worth keeping.
How Ezra turns clarified intent into a research brief — the curated-library-first rule, the sub-question decomposition, source prioritisation, acceptance criteria for "good answer," and the short-circuit when the curated library already holds the answer. Invoke as the second stage of the research pipeline after Jakin clarifies.
How Shemaiah judges the summarised research for signal vs noise — the cross-reference against the curated library, the verdict shape (resolved / partial / blocked), confidence calibration anchored to source quality and coverage, gap identification, and the rule that an evaluation never produces new content. Invoke as the fifth stage of the research pipeline.
Set up Cognee for MISHKAN — choose the install path, create a clean Python env, configure LLM/embedding providers and (optionally) PostgreSQL/Neo4j backends, and wire it to the harness. Use before first bringing up the knowledge graph, or when Cognee setup hits friction (Python version, venv, API keys, optional extras). Mirrors Cognee's official LLM quickstart skill.
Initialise a project under MISHKAN. Runs the SWE-BASICS-BEFORE-CODE sequence through the right specialists (PRD → SRS → CONTRACT → ARCHITECTURE → THREAT_MODEL → C4 → docs scaffold), seeds Cognee, writes the project CLAUDE.md, and begins Sprint S0. Use once per project, triggered by /mishkan-init.
| name | context-compress |
| description | Cognee offloading helper. Writes a full artifact (research output, decision record, long finding) to the Cognee graph and returns a compact summary plus the node id for the context window. Use to keep context lean — full content in the graph, summaries in context. |
Keep the context window lean. Full content lives in Cognee; only summaries enter context. Nothing gets dumped raw into the window.
~/.claude/mishkan/ontology.md),
returning a cognee_node_id.summary: <compact>
cognee_node_id: <id>
No information loss in the graph (full fidelity stored). The summary must carry enough to decide whether to fetch the full node. English only.