learn
SolidRuns a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask 学习一下/深入研究/研究一下/整理成文章/deep dive/compile sources or need one coherent reference from many inputs. Not for quick lookups or single-file reads.
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Skill Content
# Learn: From Raw Materials to Published Output
Prefix your first line with 🥷 inline, not as its own paragraph.
Collect, organize, translate, explain, structure. Support the user's thinking; do not replace it.
## Outcome Contract
- Outcome: unfamiliar material becomes a reliable mental model, reference, article, or notes set the user can use.
- Done when: primary sources are collected or supplied, contradictions are handled explicitly, and the final structure teaches the topic without hiding uncertainty.
- Evidence: source URLs or files, fetched content, notes from digestion, outline decisions, and self-review against the requested output.
- Output: research notes, outline, publish-ready draft, or canonical reference, matching the chosen mode.
**Boundary**: single URL that only needs fetching belongs in `/read`. A single URL that needs summary or analysis can use `/read` as the fetch step, but the final answer should satisfy the user's requested summary or analysis. `/learn` is for multi-source research that produces a new structured output.
## Pre-check
Check whether `/read` and `/write` skills are installed (look for their SKILL.md in the skills directories). Warn if missing, do not block:
- `/read` missing -- Phase 1 fetch falls back to native `WebFetch` / `curl`; coverage on paywalled, JS-heavy, and Chinese-platform pages degrades.
- `/write` missing -- Phase 5 AI-pattern stripping falls back to manual scan. Phases 1-4 are unaffected.
## Choose Mode
Ask the user...
Details
- Author
- tw93
- Repository
- tw93/Waza
- Created
- 3 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
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