菜单
Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to the knowledge-synthesizer subagent. Use when asked to mine prior chats, maintain AGENTS.md, update learned preferences, or run the continual-learning loop.
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
Security-focused review of code diffs and PRs with surface classification and Semgrep on changed files. Use when reviewing pull requests, branch diffs, or validating security regressions before merge.
Live Notion session log (L4b) — create, incremental updates during work, finalize on CLOSE. Works on any Cursor project workspace.
Bootstrap a new project with Cursor-ready configuration: AGENTS.md, per-project .cursor/rules/project-conventions.mdc, and optional memory_bank/ scaffold. Use at project initialization, when starting a new repo, or when the user says "set up Cursor for this project" / "bootstrap this project" / "init project config".
Phase-1 repo reconnaissance as a standalone skill: stack detection, relevant files, validation commands from repo evidence, workflow hints, and risk flags. Use inside /scout, /ks-conductor pre-flight, or any read-only discovery before planning or implementation.
Validates phase outputs before advancing the SDLC. Defines expected artifacts per phase (intake, scout, plan, critic, build, test, review, document, close) and produces a clear PASS / CONDITIONAL / BLOCK verdict with gaps. Use at orchestrator or command phase boundaries, before expensive work, or when the user asks to verify a gate or "are we ready to proceed".
Runs Semgrep static analysis security audits with scoped rulesets and structured findings. Use for security scans, vulnerability audits, or when touching auth, secrets, SQL, or user input boundaries.
| name | continual-learning |
| description | Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to the knowledge-synthesizer subagent. Use when asked to mine prior chats, maintain AGENTS.md, update learned preferences, or run the continual-learning loop. |
| disable-model-invocation | true |
AGENTS.mdOn-demand loading: Read this file when the task matches the triggers below.
Activation: Use this skill when asked to mine prior chats, maintain
AGENTS.md, update learned preferences, or run the continual-learning loop. Do NOT use for one-off transcript reading or general preference discussion.
Keep AGENTS.md current by delegating the memory update flow to one subagent.
Use when the user asks to mine prior chats, maintain AGENTS.md, or run the continual-learning loop.
subagent_type: "knowledge-synthesizer". Instruct it to Read ~/.cursor/skills/workflow-from-chats/SKILL.md for transcript-mining methodology, extract durable patterns from recent sessions, and update AGENTS.md with learned preferences, conventions, and facts.