一键导入
context-retriever
The 'Recall Engine'. Fetches history, decisions, and tasks related to a person or topic.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
The 'Recall Engine'. Fetches history, decisions, and tasks related to a person or topic.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.