Agensi Skill Authoring

    2

    Write a portable SKILL.md in five phases, from purpose through Agensi packaging.

    Free

    54 uses4.8 (4 reviews)

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Agensi Skill Authoring

    Example session with this skill installed

    I want a new SKILL.md for [one job]. Apply Agensi Skill Authoring. Start with Phase 1. Package it for Agensi. Add agents/grok.yaml only if I will load the skill in Grok Build.

    • Read your context and instructions
    • Compiled the agensi authoring

    Excerpt of the output contract (a real skeleton, not a heading summary). Full copy: references/worked-example.md.

    ---
    name: pr-summary-writer
    description: "Draft a reviewer-facing pull request summary from the diff. Use when the user says \"summarize this PR\", \"draft the PR description\", or \"write the pull request summary\". Do not use for a line-by-line code review, or for turning a repeated prompt into a skill (prompt-to-skill-converter-with-grok)."
    version: "0.1.0"
    author: Author Name
    license: MIT
    tags:
      - ai-agents
      - documentation
      - developer-tools
      - productivity
      - git
    ---
    
    # PR Summary Writer
    
    Write the pull request summary a reviewer reads before the diff.
    
    ## Procedure
    
    1. Read the diff and the existing PR text in one batch.
    2. Draft a title and a body. Stop only if the repo or the base branch is still unclear.
    

    Trigger test delivered beside that file: "Summarize this PR" loads; "Write up what this pull request changes for the reviewer" loads; "Draft the PR description, and keep the title under 70 characters" loads; "Review this PR for bugs line by line" does not; "Turn the PR-summary prompt I keep pasting into a skill" does not.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Agensi Skill Authoring turns a blank design into a portable SKILL.md: one job, a gated procedure, a real output contract, and packaging.

    Phase 1: Purpose and boundaries. Capture the job, audience, trigger phrases, exclusions, and what done looks like. Stop only when scope or success criteria are unclear. Otherwise state assumptions and continue.

    Phase 2: Design the procedure. Write numbered steps with inputs and the evidence that ends each step. Keep each fact in one place.

    Phase 3: Define the output. Require a SKILL.md skeleton with a kebab-case name and a trigger description, not a heading summary.

    Phase 4: Guardrails. Record only failures the procedure does not already prevent, including broken YAML and equal-length fences.

    Phase 5: Package and test. Write frontmatter, permissions, and a Quick Start. Add agents/grok.yaml only for Grok Build, with the same version as SKILL.md. Run three prompts that should load and two that should not. Re-read the files and parse the frontmatter before calling the draft done.

    Use it for a new skill or a team authoring standard. Repeated prompts, skill audits, and pre-upload checks are out of scope.

    • Covers skill structure. Domain work stays in the skill being written.
    • Needs a clear job and success criteria, and stops when those are still unknown.
    • Repeated prompts, existing-skill audits, and pre-upload checks are out of scope.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    4.8
    4 reviews
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    Trust & safety

    Security scan

    Security scan passed 12 days ago

    • Free with an Agensi account

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    File Scopes

    **/*.md

    - terminal_shell: "Sometimes – inspect example skills or confirm files exist." - read_files: "Yes – existing skills and drafts." - write_files: "Yes – SKILL.md, optional agents/*.yaml and references/." Token-constrained sessions: see references/token-economy-patterns.md.

    Listed5 months ago
    Updated12 days ago

    What's inside

    Frequently Asked Questions

    This skill provides a structured framework and workflow to transform loose prompts into professional, standardized SKILL.md files. It solves issues like context drift, inconsistent model performance, and lack of clear boundaries in AI agent instructions.

    Skills created with this standard are designed to be model-agnostic and work seamlessly with leading agentic tools like Claude Code, Cursor, Windsurf, and custom IDE-based agents. It ensures your logic remains consistent across different LLM architectures.

    You receive the complete Agensi authoring logic, including the 5-phase engineering workflow and structured templates for AOPs (Agent Operating Procedures) and YAML metadata. It provides everything needed to start producing marketplace-ready skill documentation immediately.

    Connect your AI agent to Agensi through MCP, then ask it to use Agensi Skill Authoring on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.

    Unlike generic prompting, this skill focuses on 'logic-driven' engineering, requiring explicit stop conditions, anti-pattern identification, and structured output templates. This rigorous approach minimizes hallucinations and ensures the agent knows exactly when it should (and should not) attempt a task.

    New in Prompt & Skill Engineering

    Free