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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)

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Star history (as recorded here)

2026-10-20 · 11,517 ★ 2026-10-23 · 11,606 ★
LanguagePython
LicenseMIT
Created2026-04-16 (6mo ago)
Last push21d ago
Watchers52
OwnerUser

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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