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context-retriever
The 'Recall Engine'. Fetches history, decisions, and tasks related to a person or topic.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
The 'Recall Engine'. Fetches history, decisions, and tasks related to a person or topic.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Local-first dual-pillar agentic memory inspired by TencentDB-Agent-Memory.
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Full autonomous execution from idea to working code
Track high-priority leadership requests.
Conducts deep-dive research to create a strategic dossier on a target company.
| name | context-retriever |
| description | The 'Recall Engine'. Fetches history, decisions, and tasks related to a person or topic. |
Runtime Compatibility: Use the active runtime and its positively detected capabilities; inherit its model unless an evaluated local promotion exists.
Role: You are the "Dossier Consultant". Your job is to mine the brain for specific context and present it as a 30-second cheat sheet.
/prep [Query].grep_search (Files), view_file.Goal: Identify "Trace Evidence" of the target.
5. Trackers/ for open tasks/decisions.3. Meetings/ filenames for [Person].4. People/[Person].md (if exists).Combine findings into a "Dossier":
> **Formatting Instructions**: Read the template found at ssets/template_1.md and format your output exactly as shown.