# Template

> Internal authoring template and manual canary. Copy this directory to start a new techne skill.

- **Type:** Skill
- **Install:** `agentstack add skill-lynxlangya-techne-template`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [lynxlangya](https://agentstack.voostack.com/s/lynxlangya)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [lynxlangya](https://github.com/lynxlangya)
- **Source:** https://github.com/lynxlangya/techne/tree/main/skills/_template
- **Website:** https://techne.wangyun.fan

## Install

```sh
agentstack add skill-lynxlangya-techne-template
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Skill Title

Use this file as the starting point for a new techne skill. Keep the skill body
tool-neutral: the guidance here should make sense outside any one host, with
tool-specific loading handled by plugin manifests.

## Quality Bar

A techne skill must force a move the model can make but often skips. It is not a
place to restate common knowledge, collect vague advice, or duplicate what the
platform or superpowers already handles well.

Before authoring, identify:

- The skipped move this skill forces.
- The failure pattern it prevents.
- The cases where the skill should not apply.
- The observable improvement expected when the skill is present.

## When To Use

State the triggering situation in concrete terms. Prefer user intents, task
conditions, and failure signals over broad domain labels.

## Instructions

Write the smallest set of instructions that reliably forces the move. Use direct
commands, checks, and stop conditions. Avoid product-specific paths, local tool
names, or host-only features unless they are documented as optional references.

## Validation

Each real skill should include an `eval.md` alongside `SKILL.md`. The eval file
records the empirical acceptance test from `WORKFLOW.md`: baseline behavior,
with-skill behavior, what counts as improvement, and the pass bar.

For scaffold-only or template changes, direct mechanical validation is enough.

## Supporting Files

Optional files live next to `SKILL.md` when they remove noise from the main
skill:

- `eval.md` for the empirical acceptance test.
- `scripts/` for executable helpers the model may run.
- `reference.md` for longer material loaded only when needed.

Do not add empty support folders. Add them only when the skill actually needs
them.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [lynxlangya](https://github.com/lynxlangya)
- **Source:** [lynxlangya/techne](https://github.com/lynxlangya/techne)
- **License:** MIT
- **Homepage:** https://techne.wangyun.fan

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-lynxlangya-techne-template
- Seller: https://agentstack.voostack.com/s/lynxlangya
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.