一键导入
caspar-recall
Use when user wants to search for existing knowledge, recall a specific learning, or discover what knowledge is available.
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。
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Use when user wants to search for existing knowledge, recall a specific learning, or discover what knowledge is available.
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
Use when modifying the Codex CASPAR install flow, project skill syncing, learn/recall registry files, or Codex-specific runtime files. TRIGGER when: codex, caspar, codex install, project skills, registry, caspar-learn, caspar-recall, config.toml, doctor
Run an independent adversarial code review of completed work using a pinned high-effort opposing runtime, with a same-contract native fallback. Finds bugs, correctness and security failures, regressions, performance landmines, overengineering, and missing behavioral tests. Review only; never edits code.
Build the planned feature from a compact execute.md index and sliceable tasks.json detail, dispatching parallel task waves through deterministic checks, lightweight sentinel review, and final adversarial review/validation. Trigger after execute.md/tasks.json exist or to resume a partially-built wave plan. Do NOT trigger for scoping/planning, unplanned bug-fixing, or dead-code cleanup (caspar-prune).
Use when rendering the Next Steps footer at the end of any caspar command, suggesting which caspar command to run next, or answering "what command should I run?" / "how does the workflow work?". Do NOT use mid-task or for executing a phase — this only renders guidance and the footer.
Independent adversarial review of plan.md before task generation. Use a pinned high-effort opposite-runtime reviewer; fall back to one native reviewer with the same contract when unavailable. Trigger after create_plan and before create_tasks. Do NOT review generated tasks, finished code, or apply scope changes.
Adversarial review of generated execute.md + tasks.json against a reviewed plan using a pinned high-effort opposite runtime, with a same-contract native fallback. Checks translation, criteria, RED pairing, dependencies, waves, and alignment. Do NOT review plan quality, finished code, or change scope.
| name | caspar-recall |
| description | Use when user wants to search for existing knowledge, recall a specific learning, or discover what knowledge is available. |
| user-invocable | true |
Search and load relevant knowledge from the project's Caspar learnings into your context.
feature-codex-caspar-implementation|feature|codex, caspar, codex install, project skills, registry, caspar-learn, caspar-recall, config.toml, doctor|Use when modifying the Codex CASPAR install flow, project skill syncing, learn/recall registry files, or Codex-specific runtime files. release|workflow|release, version bump, changelog, github release, npm publish, codex sync, local codex install|Run the Caspar release workflow, including version bumps, Codex sync, local Codex install verification, GitHub release, and npm publish.
Skill({skill-name})The registry above is a fallback reference. Discovery relies on each installed skill's frontmatter description.
/recall {query} — search registry for matches/recall — show all available knowledge by categorySingle match → Load automatically via Skill({skill-name})
Multiple matches → List options, ask user which to load
No matches → Suggest /learn to capture new knowledge