rodrigobranas/formacao_ia_arq_t1_4/skills-best-practices

Claude Code and agent skill by rodrigobranas/formacao_ia_arq_t1_4

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Checking that the SKILL.md file is still in the repository.

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.

Install

npx vskill@latest install rodrigobranas/formacao_ia_arq_t1_4/skills-best-practices

SKILL.md

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/.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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Works with

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