Skip to content
cccskills
FreePublished on GitHub

template-updater

Research-backed template refresh workflow for updating existing templates with placeholder verification and rendering validation.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md3.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Template Updater

Overview

Use this skill to refresh an existing template safely: research current best practices, compare against current implementation, verify placeholder completeness, apply updates, and validate rendering.

When to Use

  • Template produces outdated or incorrect output when rendered
  • New framework conventions make template content stale
  • Reflection flags template quality issues
  • User asks to audit/refresh an existing template

The Iron Law

Never update a template blindly. Every refresh must be evidence-backed, TDD-gated, and integration-validated.

Workflow

Step 0: Evaluate Current State

  1. Read the template file and understand its purpose
  2. Identify all {{PLACEHOLDER}} tokens and their expected values
  3. Check which creators/skills use this template
  4. Identify issues: missing placeholders, outdated content, wrong structure

Step 1: Research Best Practices

  1. Read .claude/templates/CLAUDE.md for template conventions
  2. Review similar templates for patterns
  3. Check the template-renderer skill for rendering expectations
  4. Use Skill({ skill: 'research-synthesis' }) if external research needed

Step 2: Generate Patch Backlog

  1. List specific changes needed
  2. Prioritize: structural fixes > content updates > formatting improvements
  3. Ensure all placeholders are documented

Step 3: Apply Updates

  1. Write or update rendering tests first (RED phase)
  2. Apply template changes (GREEN phase)
  3. Refactor for clarity (REFACTOR phase)
  4. Use Edit tool — never rewrite the entire file

Step 4: Verify Integration

  1. Verify all {{PLACEHOLDER}} tokens are documented in the template header
  2. Test rendering with Skill({ skill: 'template-renderer' })
  3. Verify output matches expected structure for the artifact type
  4. Run pnpm lint:fix && pnpm format

Step 5: Record

  1. Log changes via MemoryRecord if significant
  2. Update CHANGELOG.md entry

Domain-Specific Validation

  • All {{PLACEHOLDER}} tokens MUST be documented with description and example
  • Template MUST render without errors when all placeholders are provided
  • Template output MUST match the target artifact's expected structure
  • Conditional sections MUST handle missing optional placeholders gracefully

Anti-Patterns

  • Adding placeholders without documenting them
  • Hardcoding values that should be placeholders
  • Breaking the template's rendering by changing placeholder names
  • Removing sections that creators depend on

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

See all skills by oimiragieo

Report a problem with this skill