菜单
Compile a skill from a brief. Supports --batch for multiple briefs. Use when the user requests to "create a skill" or "compile a skill."
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。
Build data ingestion + transformation pipelines on top of cocoindex v1.0.0 — a Python framework with a Rust engine for ultra-performant, incremental indexing (ETL, RAG, knowledge graphs, vector search). Use when authoring cocoindex v1.0.0 components — App / Environment / @lifespan / @fn / mount + TargetState reconciliation + connectors + ops. **This is a complete paradigm change from v0.3.37**; the old FlowBuilder/DataScope/DataSlice/flow_def API was wholly removed in v1.0.0 — do NOT mix vocabularies.
Builds apps on top of cognee v1.0.0, the knowledge-graph memory engine for AI agents. Use when ingesting text/files/URLs into persistent memory, building knowledge graphs, searching graph-backed memory with multiple SearchType modes, enriching graphs with memify/improve, scoping memory with datasets and node_sets, configuring LLM/embedding/ graph/vector backends, running custom task pipelines, tracing operations, decorating agent entrypoints with `agent_memory`, connecting to Cognee Cloud with `serve`, or visualizing the graph. Covers cognee/__init__.py exports: the V1 API (add, cognify, search, memify, datasets, prune, update, run_custom_pipeline, config, SearchType, visualize_graph, pipelines, Drop, run_startup_migrations, tracing) and the V2 memory-oriented API (remember, RememberResult, recall, improve, forget, serve, disconnect, visualize, agent_memory). Do NOT use for: cognee internals, the HTTP REST API (use cognee-mcp or the FastAPI server), non-cognee memory/RAG libraries.
Authors Storybook v10 stories using the consolidated `storybook` package import surface for React plus Vite. Use when writing or editing `*.stories.tsx`, `preview.ts`, or `.storybook/main.ts` files on a Storybook 10.3+ project, including CSF3 story syntax, `play` functions with `storybook/test`, `preview-api` hooks, theming, MDX doc blocks from `@storybook/addon-docs/blocks`, and the a11y, themes, and vitest addons. Covers the `@storybook/react-vite` framework, `@storybook/react` renderer, and `@storybook/builder-vite` layer model so defects can be located at the right layer. Do NOT use for first-time project setup, framework selection, or upgrade migration (those flows are covered by the official upgrade CLI). Do NOT generate CSF2 default-export story arrays — v10 uses CSF3 named exports with the `satisfies` meta pattern, and training data frequently shows the wrong `@storybook/*` sub-package import paths that v10 consolidated into the single `storybook` package.
Installs React 19 and Next.js 16 UI components, blocks, and pages from the uitripled shadcn-compatible registry (the react-shadcn variant). Use when composing landing pages, dashboards, or UI from 171 animated Framer Motion components via "npx shadcn@latest add @uitripled/COMPONENT_ID". Covers the registry catalog, CLI install paths, ThemeProvider and UILibraryProvider setup, shadcn/ui primitives, and the @uitripled/utils helpers. Do NOT use this skill for the deferred react-baseui or react-carbon variants (they will ship as separate skills), and do NOT generate barrel imports from the react-shadcn package — its src/index.ts file is empty by design.
Drift detection between skill and current source code. Use when the user requests to "audit a skill" or "audit skill" for drift.
Design a skill scope through guided discovery. Use when the user requests to "create a skill brief" or "brief a skill."
基于 SOC 职业分类
| name | skf-create-skill |
| description | Compile a skill from a brief. Supports --batch for multiple briefs. Use when the user requests to "create a skill" or "compile a skill." |
Compiles a verified agent skill from a skill-brief.yaml and source code, producing an agentskills.io-compliant SKILL.md with provenance map, evidence report, and progressive disclosure references. The workflow is mostly autonomous with three interaction points — after ecosystem check (if match found), after source extraction (to confirm findings), and after content quality review (when tessl produces suggestions). Steps adapt behavior based on forge tier (Quick/Forge/Forge+/Deep). Zero hallucination tolerance: every instruction in the output must trace to source code with a confidence tier citation.
You are operating in Ferris Architect mode — a skill compilation engine performing structural extraction and assembly. Apply zero hallucination tolerance: uncitable content is excluded, not guessed.
These rules apply to every step in this workflow:
{communication_language}{headless_mode} is true, auto-proceed through confirmation gates with their default action and log each auto-decision| # | Step | File | Auto-proceed |
|---|---|---|---|
| 1 | Load Brief | steps-c/step-01-load-brief.md | Yes |
| 2 | Ecosystem Check | steps-c/step-02-ecosystem-check.md | Conditional |
| 2b | CCC Discover | steps-c/sub/step-02b-ccc-discover.md | Yes |
| 3 | Extract | steps-c/step-03-extract.md | No (confirm) |
| 3b | Fetch Temporal | steps-c/sub/step-03b-fetch-temporal.md | Yes |
| 3c | Fetch Docs | steps-c/sub/step-03c-fetch-docs.md | Yes |
| 3d | Component Extraction | steps-c/step-03d-component-extraction.md | Conditional |
| 4 | Enrich | steps-c/step-04-enrich.md | Yes |
| 5 | Compile | steps-c/step-05-compile.md | Yes |
| 6 | Validate | steps-c/step-06-validate.md | Conditional |
| 7 | Generate Artifacts | steps-c/step-07-generate-artifacts.md | Yes |
| 8 | Report | steps-c/step-08-report.md | Yes |
| 9 | Workflow Health Check | steps-c/step-09-health-check.md | Yes |
Sub-steps under steps-c/sub/ are conditional branches (CCC discovery, temporal/doc enrichment) kept out of the top-level step count so main-line steps 1–9 drive the workflow. Step 3d (Component Extraction) stays top-level as an alternative main step that replaces the standard extraction path when scope.type: "component-library".
| Aspect | Detail |
|---|---|
| Inputs | brief_path (path to skill-brief.yaml) [required], --batch [optional] |
| Gates | step-02: Choice Gate [P] (if match) |
| Outputs | SKILL.md, context-snippet.md, metadata.json, provenance-map.json, evidence-report.md, references/ |
| Headless | All gates auto-resolve with default action when {headless_mode} is true |
Load config from {project-root}/_bmad/skf/config.yaml and resolve:
output_folder, user_name, communication_language, document_output_language, sidecar_path, skills_output_folder, forge_data_folderResolve {headless_mode}: true if --headless or -H was passed as an argument, or if headless_mode: true in preferences.yaml. Default: false.
Load, read the full file, and then execute ./steps-c/step-01-load-brief.md to begin the workflow.