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SKILL verified MIT Self-run

Skill Creator

skill-capawesome-team-skills-skill-creator · by capawesome-team

Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.

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Install

$ agentstack add skill-capawesome-team-skills-skill-creator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-capawesome-team-skills-skill-creator)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Skill Creator? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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About

Skill Authoring Procedure

Follow these steps to generate a skill that adheres to the agentskills.io specification and progressive disclosure principles.

Step 1: Initialize and Validate Metadata

  1. Define a unique name: 1-64 characters, lowercase, numbers, and single hyphens only.
  2. Draft a description: Max 1,024 characters, written in the third person, including negative triggers.
  3. Execute Validation Script: Run the validation script to ensure compliance before proceeding:

python3 scripts/validate-metadata.py --name "[name]" --description "[description]"

  1. If the script returns an error, self-correct the metadata based on the stderr output and re-run until successful.

Step 2: Structure the Directory

  1. Create the root directory using the validated name.
  2. Initialize the following subdirectories:
  • scripts/: For tiny CLI tools and deterministic logic.
  • references/: For flat (one-level deep) context like schemas or API docs.
  • assets/: For output templates, JSON schemas, or static files.
  1. Ensure no human-centric files (README.md, INSTALLATION.md) are created.

Step 3: Draft Core Logic (SKILL.md)

  1. Use the template in assets/skill-template.md as the starting point.
  2. Write all instructions in the third-person imperative (e.g., "Extract the text," "Run the build").
  3. Enforce Progressive Disclosure:
  • Keep the main logic under 500 lines.
  • If a procedure requires a large schema or complex rule set, move it to references/.
  • Command the agent to read the specific file only when needed: "Read references/api-spec.md to identify the correct endpoint."

Step 4: Identify and Bundle Scripts

  1. Identify "fragile" tasks (regex, complex parsing, or repetitive boilerplate).
  2. Outline a single-purpose script for the scripts/ directory.
  3. Ensure the script uses standard output (stdout/stderr) to communicate success or failure to the agent.

Step 5: Final Logic Validation

  1. Review the SKILL.md for "hallucination gaps" (points where the agent is forced to guess).
  2. Verify all file paths are relative and use forward slashes (/).
  3. Cross-reference the final output against references/checklist.md.

Error Handling

  • Metadata Failure: If scripts/validate-metadata.py fails, identify the specific error (e.g., "STYLE ERROR") and rewrite the field to remove first/second person pronouns.
  • Context Bloat: If the draft exceeds 500 lines, extract the largest procedural block and move it to a file in references/.

Source & license

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

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

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.