skf-analyze-source

分类: 工具与效率 | 上传者: armelhbobdad | 下载: 0 | 版本: v1.0（最新）

了解大型存储库中需要掌握哪些技能并生成推荐的技能简介。当用户请求“分析技能来源”或“发现技能机会”时使用。

更新日志: Source: GitHub https://github.com/armelhbobdad/bmad-module-skill-forge

目录结构

当前层级: tree/main/src/skf-analyze-source/

📁 assets/
- 📄 skill-brief-schema.md 10.8 KB
📁 references/
- 📄 continue.md 2.4 KB
- 📄 generate-briefs.md 8.8 KB
- 📄 health-check.md 879 B
- 📄 identify-units.md 7.8 KB
- 📄 init.md 7.4 KB
- 📄 map-and-detect.md 10.1 KB
- 📄 recommend.md 7.1 KB
- 📄 scan-project.md 6.3 KB
- 📄 unit-detection-heuristics.md 7.7 KB
📁 templates/
- 📄 analysis-report-template.md 583 B
📄 customize.toml 2.0 KB
📄 SKILL.md 7.8 KB

SKILL.md

---
name: skf-analyze-source
description: Discover what to skill in a large repo and produce recommended skill briefs. Use when the user requests to "analyze source for skills" or "discover skill opportunities."
---

# Analyze Source

## Overview

Analyzes a large repo or multi-service project to identify discrete skillable units, map exports and integration points, and produce recommended skill-brief.yaml files as the primary entry point for brownfield onboarding. The analysis must be thorough enough to produce actionable briefs, but scoped enough to avoid overwhelming the user with false positives. Scanning depth adapts to forge tier — Quick (file structure), Forge (AST), Forge+ (AST + CCC semantic pre-ranking), Deep (AST+QMD).

## Conventions

- Bare paths (e.g. `references/<name>.md`) resolve from the skill root.
- `references/` holds prompt content carved out of SKILL.md (workflow stages chained via frontmatter `nextStepFile`, plus static reference docs); `scripts/` and `assets/` hold deterministic helpers and templates.
- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives, if present).
- `{project-root}`-prefixed paths resolve from the project working directory.
- `{skill-name}` resolves to the skill directory's basename.

## Role

You are a source code analyst and decomposition architect collaborating with a developer onboarding an existing project. You bring expertise in codebase analysis, service boundary detection, and skill scoping, while the user brings their domain knowledge. Work together as equals.

## Workflow Rules

These rules apply to every step in this workflow:

- Only load one step file at a time — never preload future steps
- Always communicate in `{communication_language}` (the language for user-facing prose). Written artifact text — the per-unit recommendation `description` and `scope.notes` persisted into `skill-brief.yaml` — is in `{document_output_language}`; per-step rules call this out where it applies. The two values may be the same.
- If `{headless_mode}` is true, auto-proceed through confirmation gates with their default action and log each auto-decision

## Stages

| # | Step | File | Auto-proceed |
|---|------|------|--------------|
| 1 | Initialize | references/init.md | Yes |
| 1b | Continue (session resume) | references/continue.md | Yes |
| 2 | Scan Project | references/scan-project.md | No (confirm) |
| 3 | Identify Units | references/identify-units.md | No (confirm) |
| 4 | Map & Detect | references/map-and-detect.md | Yes |
| 5 | Recommend | references/recommend.md | No (confirm) |
| 6 | Generate Briefs | references/generate-briefs.md | Yes |
| 7 | Workflow Health Check | references/health-check.md | Yes |

## Invocation Contract

| Aspect | Detail |
|--------|--------|
| **Inputs** | project_path [required], scope_hint [optional] |
| **Headless inputs** | `--project-path <path>` (skip Step 1 project-path prompt), `--scope-hint <text>` (skip Step 1 scope-hint prompt), `--intent-hint <text>` (pre-supply analysis intent; drives recommendation ranking in Step 5) |
| **Headless flag** | `--headless` / `-H` flips every confirm gate to auto-proceed |
| **Gates** | step 2: Confirm Gate [C] | step 3: Confirm Gate [C] | step 5: Confirm Gate [C] |
| **Outputs** | analysis-report.md, skill-brief.yaml files (one per recommended unit); final `SKF_ANALYZE_RESULT_JSON` line on stdout when `{headless_mode}` is true |
| **Headless** | All gates auto-resolve with default action when `{headless_mode}` is true |
| **Exit codes** | See "Exit Codes" below |

## Exit Codes

Every HARD HALT in this workflow exits with a stable code so headless automators can branch on the failure class without grepping message text:

| Code | Meaning              | Raised by                                                                                  |
| ---- | -------------------- | ------------------------------------------------------------------------------------------ |
| 0    | success              | step 7 (terminal — health check completion)                                               |
| 2    | input-missing        | step 1 §2-3 — required config absent (config.yaml not loadable, project path empty/invalid in headless mode) |
| 3    | resolution-failure   | step 1 §2 (`forge-tier.yaml` missing at `{sidecar_path}/forge-tier.yaml`); step 1 §3 (project path does not exist or remote URL inaccessible) |
| 4    | write-failure        | step 1 §6 (analysis report write failed); step 6 §5 (skill-brief.yaml write failed); step 6 §9 (result contract write failed) |
| 6    | user-cancelled       | any interactive menu in steps 2/3/5/6 (user selected `[X]` Cancel and exit)               |

## Result Contract (Headless)

When `{headless_mode}` is true, step 6 emits a single-line JSON envelope on **stdout** before chaining to step 7, and every HARD HALT emits the same envelope shape on **stderr** with `status: "error"`:

```
SKF_ANALYZE_RESULT_JSON: {"status":"success|error","report_path":"…|null","brief_paths":["…"],"unit_counts":{"confirmed":N,"skipped":N,"maybe":N},"exit_code":0,"halt_reason":null}
```

`status` is `"success"` on the terminal happy path, `"error"` on any HALT. `halt_reason` is one of: `null` (success), `"input-missing"`, `"forge-tier-missing"`, `"path-invalid"`, `"write-failed"`, `"user-cancelled"`. `exit_code` matches the table above. `brief_paths` is an array of absolute paths to every generated `skill-brief.yaml` (empty array if none were generated). `unit_counts` reports confirmed/skipped/maybe counts from step 5's user decisions.

## On Activation

1. Load config from `{project-root}/_bmad/skf/config.yaml` and resolve:
   - `project_name`, `output_folder`, `user_name`, `communication_language`, `document_output_language`, `forge_data_folder`, `skills_output_folder`, `sidecar_path`

2. **Resolve `{headless_mode}`**: true if `--headless` or `-H` was passed as an argument, or if `headless_mode: true` in preferences.yaml. Default: false.

3. **Resolve workflow customization.** Run:

   ```bash
   python3 {project-root}/_bmad/scripts/resolve_customization.py \
       --skill {skill-root} --key workflow
   ```

   The script merges the three customization layers per `bmad-customize`'s structural merge rules (scalars override, arrays append):

   - `{skill-root}/customize.toml` — bundled defaults
   - `_bmad/custom/<skill-name>.toml` under `{project-root}` — team overrides (committed)
   - `_bmad/custom/<skill-name>.user.toml` under `{project-root}` — personal overrides (gitignored)

   If the script fails or is missing, fall back to reading `{skill-root}/customize.toml` directly — the bundled defaults are an empty string for each path scalar.

   Apply the path-scalar fallback now so stage files don't have to repeat the conditional logic. For each scalar, if the merged value is empty or absent, use the bundled default:

   - `{unitDetectionHeuristicsPath}` ← `workflow.unit_detection_heuristics_path` if non-empty, else `references/unit-detection-heuristics.md`
   - `{briefSchemaPath}` ← `workflow.brief_schema_path` if non-empty, else `assets/skill-brief-schema.md`
   - `{analysisReportTemplatePath}` ← `workflow.analysis_report_template_path` if non-empty, else `templates/analysis-report-template.md`
   - `{onCompleteCommand}` ← `workflow.on_complete` if non-empty, else empty string (no-op — workflow skips the hook invocation)

   Stash all four as workflow-context variables. Stage files reference `{unitDetectionHeuristicsPath}` / `{briefSchemaPath}` / `{analysisReportTemplatePath}` / `{onCompleteCommand}` directly — no conditional at the usage site. Empty-string overrides cleanly fall through to the bundled default; non-empty values let orgs swap in house-style copies (or wire in pipeline hooks) without forking the skill.

4. Load, read the full file, and then execute `references/init.md` to begin the workflow.

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skf-analyze-source

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