techne
A curated skills plugin for practical AI-era craft, judgment, and delivery.
Open source Open in the app JSON README (API)
About
A curated skills plugin for practical AI-era craft, judgment, and delivery.
Details
- Kind
- Plugins
- Topic
- Government & public data
- Publisher
- lynxlangya
- Origin
- gemini
- Category
- ferramentas
- Version
- 0.1.0
- Stars
- 105
- Forks
- 18
- Last push
- 2026-07-02T07:50:54Z
- Repository state
- ativo
- Language
- Python
- License
- MIT
- Added
- 2026-08-30 14:13:39
- Updated
- 2026-08-30 14:13:39
- Origin id
lynxlangya/techne
README
# techne > **τέχνη** · /ˈtɛk.niː/ · "TEK-nee" Ancient Greek for **craft · skill · art**: the practical know-how of *making* and *doing*, and the shared root of both **technique** and **technology**. Aristotle placed *technē* (knowing **how**) beside *epistēmē* (knowing **that**). Skills and agents for the AI era. Website: [techne.wangyun.fan](https://techne.wangyun.fan). Chinese version: [README-CN.md](README-CN.md). ## What This Is techne is a curated library of skills and agent assets for practical AI-era work. A techne skill is not a prompt snippet. It is a forced cognitive move: a small procedure that makes an AI collaborator investigate, judge, write, code, or ship in a way it often skips under pressure. The project keeps one shared source of truth in `skills/`. Host-specific files stay thin: Claude Code plugin metadata, Cursor and Gemini manifests, and install instructions for Codex, Kimi, and other Agent Skills hosts all point back to the same skill bodies. ## Skills The current seeded skills use the `anchor-*` prefix because each one anchors AI work to evidence it cannot self-report or fake: a source tree, run ledger, git diff, or written brief. - `anchor-viz` — investigate a real codebase by diagramming it. It routes one user request across architecture, interaction, data-model, state-model, and type-structure diagrams, then validates and builds a local viewer. See [skills/anchor-viz/README.md](skills/anchor-viz/README.md) for detailed usage. - `anchor-repro` — force bug fixes through a failing reproduction first, then verify with the same probe after the fix. See [skills/anchor-repro/README.md](skills/anchor-repro/README.md) for detailed usage. - `anchor-vet` — force code review through computed scope, accounted blast radius, verified claims/findings, and admissible verdicts before approving or requesting changes. See [skills/anchor-vet/README.md](skills/anchor-vet/README.md) for detailed usage. - `anchor-intake` — interrogate a written engineering implementation brief before work starts, accounting the fixed rubric, surfacing gaps/traps/questions, and emitting an intent-level plan. See [skills/anchor-intake/README.md](skills/anchor-intake/README.md) for detailed usage. ## Install **Recommended: ask your AI agent.** Paste this into Claude Code or Codex: ```text Install techne for my current agent by following https://github.com/lynxlangya/techne/blob/main/INSTALL.md, then verify the techne skills are available. ``` The agent reads [INSTALL.md](INSTALL.md), detects your harness (Claude / Codex / Cursor / Gemini / Kimi), runs the right install path, and confirms the skill works. **Manual:** per-harness commands and the universal `npx skills` fallback are in [INSTALL.md](INSTALL.md). For Claude Code: ```text /plugin marketplace add lynxlangya/techne /plugin install techne@techne-dev /reload-plugins ``` For Codex: ```bash npx skills add lynxlangya/techne -a codex -g -y ``` See [WORKFLOW.md](WORKFLOW.md) for the delivery process and [ROADMAP.md](ROADMAP.md) for the product map. ## Documentation Public-facing documentation is split by language: - `README.md` is the default English document. - `README-CN.md` is the Chinese companion document. The same convention applies to skill usage guides when a Chinese version is needed, for example `skills/anchor-viz/README.md` and `skills/anchor-viz/README-CN.md`.