kangarooking / cangjie-skill
git clone https://github.com/kangarooking/cangjie-skill.git
v2.5.0 · 1mo ago
把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills(Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills)
+38
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+~208
stars, 7 days · #1,085
+~890
stars, 30 days · #940
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Star history (as recorded here)
LanguagePython
LicenseMIT
Created2026-04-16 (6mo ago)
Last push21d ago
Watchers52
OwnerUser
GitHub topics
agent-workflowsai-skillsautomationbook-to-skillknowledge-distillationprompt-engineeringskill-generatortemplates
Links
README excerpt
简体中文 · English · 日本語 # Cangjie Skill ### Distill methodologies from books, long-form videos, and podcasts into callable AI Skills **Finish reading, watching, or listening—and leave with a methodology you can invoke.** ## Cangjie Skill in 66 seconds https://github.com/user-attachments/assets/87a2cf7b-2114-48aa-aecd-2640a667db40 ## Official Website 🌐 Visit the Cangjie Skill official website The website provides visual Skill Pack browsing, a beginner-friendly usage guide, Skill detail pages, and a contribution submission entry. This GitHub repository remains the sole source for cangjie-skill code, methodology, and templates; the website provides presentation, navigation, and usage guidance. ## What's New in v2.5.0 - **Capability Bundle as the single source of truth**: extraction produces stable capability cards and metadata before any installable output is compiled. - **Two deterministic delivery modes**: compile one router-style Skill (`single`) or a compact pack with a router plus promoted standalone Skills (`pack`). - **A unified local toolchain**: `scripts/cangjie.py` now covers diagnostics, compilation, output replanning, incremental updates, repair, rollback, evaluation, and benchmarking. - **Safer evolution**: content-addressed preprocessing, source diffs, impact analysis, transactional patches, edit detection, snapshots, and rollback are included. - **Registry v2 and website support**: output mode and capability counts are visible without breaking existing Registry v1 entries. See the v2.5.0 release notes and changelog for the complete scope and migration notes. **2026-09-13 refresh (still v2.5.0):** task-first validation now retains complete procedures and formulas explained in a single source location. Output scoring counts missing runs and checks numeric values/units; compiled Skills can carry declared scripts and text templates. Download the refreshed generic Skill ZIP · SHA256. Extract it and install the complete `cangjie-skill/` directory. Existing users must download the refreshed package; check `BUILD_INFO.json` for the source commit and refresh date. The original tag is unchanged, so GitHub's automatic source archives do not contain this refresh. ## DeepSeek Harness Plugin cangjie-skill also provides a standalone installation package for DeepSeek Harness. The adapter layer is bundled in the Release package, so no platform-specific wrapper files are added to this repository. After installing DeepSeek Harness, download the v2.5.0 package and checksum, verify it, then install from the local tarball: [code] Download the DeepSeek Harness plugin (for Cangjie Skill v2.5.0) · SHA256 checksum After starting a new task, you can say: [code] ## Why This Exists There's a recent viral idea: distilling colleagues into AI skills. Even after someone leaves, their experience, tone, and work style can be partially replicated by AI. nuwa-skill does exactly this — creating "human skills" like an Elon Musk skill or a Warren Buffett skill. The comp