| name | topic-learn |
| description | Learn one topic end to end (学): scoped mission, layered sources, mastery map, verified evidence, canonical article, interview layer, learning records. Modes new or refresh. Use for 主题学习, 技术深挖, 溯源验证; not single-link summaries, blank-page article writing, or codebase audit. |
Topic Learn
Role: 学 — Turn one knowledge point into a reusable, source-backed, verifiable topic asset.
Examples: Java reflection, TCP congestion control, Raft, HTTP caching, Postgres MVCC.
Not for: single-link summaries, opinion without sources, shallow cheat sheets, marketing-only article drafts, codebase audit.
Invocation
| Required | Optional |
|---|
| Topic (one knowledge point) | mode: new (default) or refresh |
| Boundary + out of scope | Depth: brief / standard (default) / deep |
| Success looks like (≥2 outcomes) | Save path, language zh / en |
| Save directory | |
Missing Success or boundary → ask at most 3 questions. Do not start Source until Mission is writable.
Depth
| Level | Deliverables |
|---|
brief | Mission + map + sources/INDEX + slim main article (problem, mechanism, sources); interview: one-liner + ≥3 follow-ups |
standard | Full checklist; glossary optional |
deep | + glossary and/or reference/; 0–2 side articles; mechanism-heavy topics default to diagrams (article-structure.md) |
Detail: references/formats.md → Depth.
Modes (TOPIC.yaml → mode)
| Mode | When |
|---|
new | No workspace yet, or full first pass |
refresh | Merge, gap-fill, re-verify, or humanize-only |
Refresh variants (detail in references/workflow.md):
- Merge — align scattered drafts; diff-only Write
- Gap-fill — only missing pieces (e.g. interview)
- Verify / polish — re-run demos, fix
verified_on, humanize touched files
Before you start
- Read existing topic dir; set
mode in TOPIC.yaml (references/formats.md).
- New workspace — optional bootstrap:
/path/to/topic-learn/scripts/topic_scaffold.sh /path/to/<topic-dir> <slug> [zh|en]
- 按需读 — start at
references/README.md; never bulk-read all references.
Flow
Scope → Source → Model → Verify → Write → Interviewize → Record → Humanize → Checklist
new: full flow (references/workflow.md).refresh: delta on each step; touch ≤6 files unless full rewrite.
Stop points (user may say「一次跑完」):
- After Scope — confirm Mission + boundary.
- After Model — confirm mastery-map + gaps before Write.
Hard rules
- One topic per run.
- No mastery map → no Write.
- No L1/L2 for key claims → no Write (or explicit Open).
- No verification → not complete.
- No interview layer → not complete.
- All prose artifacts in one topic directory (
code_repo for runnable code when documented).
Humanize boundary
Polish main + interview when the user asks — preserve sources, verification commands, claims, and glossary terms. User style notes override default tone.
| Need | Skill |
|---|
| Learning-topic polish in this workspace | This skill (Step 8) |
| Neutral de-AI only, no author persona | humanizer (user triggers separately) |
| Author voice + publish-ready in writing flow | article-write refine stage |
Related skills
| Skill | When |
|---|
article-read | Source step — fetch URL/PDF into sources/ (references/source-ingest.md) |
humanizer | Finished main/interview, neutral de-AI only |
article-write | Turn mastery assets into publish-oriented articles (user triggers separately) |
flowguard | Long new/refresh spanning many sessions — wrap with checkpoints |
Validation
bash -n topic-learn/scripts/topic_scaffold.sh
bash -n topic-learn/scripts/topic_check.sh
topic-learn/scripts/topic_scaffold.sh /tmp/topic-smoke test-slug zh
topic-learn/scripts/topic_check.sh /tmp/topic-smoke
Before marking phase: shipped, run topic_check.sh on the topic directory.
References
Start at references/README.md. Scripts: topic_scaffold.sh, topic_check.sh.
