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Create, evaluate and package agent skills v1.0.0

Use this resource to create, evaluate and package an agent skill from an existing workflow

New

  • 590 downloads
  • 134 likes
  • 176 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agent-skill-authoring-package

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the right mode (creation, refactoring, evaluation or packaging) and keeps SKILL.md lean, moving detail into references. You get a structured skill with its references and an evaluation report.

Mostly picked by

Updated November 2, 2026

Card for the “Create, evaluate and package agent skills” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: routing and working modes
  • references/eval-playbook.md: skill evaluation method

Good fit for

  • You are turning a team procedure into a reusable skill
  • An existing skill gives uneven results and needs evaluation

Not for

    Tags

    • skills
    • agents
    • evaluation
    • packaging
    • refactoring

    About

    You say

    “Turn this support process write-up into a skill, then evaluate it on three cases.”

    Card for the “Create, evaluate and package agent skills” skill

    Skill published by Yao Team under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to create, evaluate and package an agent skill from an existing workflow
    3. Review and adjust the result

    Content preview

    Files

    • agents/interface.yaml0.9 KB
    • LICENSE1.1 KB
    • manifest.json0.5 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/artifact-design-doctrine.md3.3 KB
    • references/authoring-discipline.md3.9 KB
    • references/autonomous-adaptation.md5.2 KB
    • references/distribution-registry-method.md4.5 KB
    • references/eval-playbook.md1.8 KB
    • references/gate-selection.md2.2 KB
    • references/governance.md3.6 KB
    • references/human-review-template.md1.8 KB
    • references/intent-dialogue.md7.2 KB
    • references/iteration-philosophy.md1.6 KB
    • references/non-skill-decision-tree.md1.4 KB
    • references/operating-modes.md3.5 KB
    • references/output-eval-method.md6.3 KB
    • references/output-quality-risk.md2.5 KB
    • references/output-visual-quality.md2.6 KB
    • references/packaging-contracts.md3.2 KB
    • references/pattern-extraction-doctrine.md3 KB
    • references/platform-capability-matrix.md3.8 KB
    • references/prompt-engineering-doctrine.md4 KB
    • references/qa-ladder.md1.8 KB
    • references/reference-scan.md5.1 KB
    • references/regression-cause-taxonomy.md3.2 KB
    • references/resource-boundaries.md4.9 KB
    • references/review-studio-method.md7.3 KB
    • references/review-waiver-method.md4 KB
    • references/runtime-conformance-method.md1.8 KB
    • references/skill-archetypes.md2.1 KB
    • references/skill-atlas-method.md2.8 KB
    • references/skill-engineering-method.md9.7 KB
    • references/skill-ir-method.md2.1 KB
    • references/skillops-decision-policy.md2.7 KB
    • references/systems-thinking-doctrine.md3.3 KB
    • references/telemetry-drift-method.md9.4 KB
    • references/trust-security-method.md5.3 KB
    • references/user-memory-policy.md2.5 KB
    • SKILL.md6.1 KB

    Origin and licence

    Listed unmodified

    Author
    Yao Team
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/yao-meta-skill
    Licence
    MIT

    Notice

    « yao-meta-skill » (Yao Team, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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