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SamuelChien/mega-skills-collection

Validate messaging consistency across website, GitHub repos, and local documentation generating read-only discrepancy reports. Use when checking content alignment or finding mixed messaging. Trigger with phrases like "check consistency", "validate documentation", or "audit messaging".

mega-skills-collection とは?

mega-skills-collection is a Claude Code agent skill that validate messaging consistency across website, GitHub repos, and local documentation generating read-only discrepancy reports. Use when checking content alignment or finding mixed messaging. Trigger with phrases like "check consistency", "validate documentation", or "audit messaging".

対応✓Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/SamuelChien/mega-skills-collection/tree/HEAD/000-jeremy-content-consistency-validator

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ドキュメント

Content Consistency Validator

Overview

Checks content for tone, terminology, formatting, and structural consistency across multiple documentation sources (websites, GitHub repos, local docs). Generates read-only discrepancy reports with severity-classified findings and actionable fix suggestions including file paths and line numbers.

Examples

  • Pre-release audit: Before tagging a new version, run the validator to catch version mismatches between your README, docs site, and changelog — e.g., the website says v2.1.0 but the GitHub README still references v2.0.0.
  • Post-rebrand check: After renaming a product or updating terminology (e.g., "plugin" to "extension"), validate that all docs, landing pages, and contributing guides use the new term consistently.
  • Onboarding review: When a new contributor flags confusing docs, run a consistency check to surface contradictory feature claims, outdated contact info, or missing sections across your documentation sources.

Prerequisites

  • Access to at least two content sources (website, GitHub repo, or local docs directory)
  • WebFetch permissions configured for remote URLs (deployed sites, GitHub raw content)
  • Local documentation stored in recognizable paths (docs/, claudes-docs/, internal/)

Instructions

  1. Discover sources — scan for build directories (dist/, build/, public/, out/, _site/), GitHub README/CONTRIBUTING files, and local doc folders:
    find . -maxdepth 3 -name "README*" -o -name "CONTRIBUTING*" | head -20
    ls -d docs/ claudes-docs/ internal/ 2>/dev/null
    
  2. Extract structured data from each source: version numbers, feature claims, product names, taglines, contact info, URLs, and technical requirements:
    grep -rn 'v[0-9]\+\.[0-9]\+' docs/ README.md
    grep -rn -i 'features\|capabilities' docs/ README.md
    
  3. Verify extraction — confirm at least 3 data points per source. If a source returns empty, check the Error Handling table before continuing.
  4. Build comparison matrix pairing each source against every other (website vs GitHub, website vs local docs, GitHub vs local docs):
    diff <(grep -i 'version' README.md) <(grep -i 'version' docs/overview.md)
    
  5. Classify discrepancies by severity:
    • Critical: conflicting version numbers, contradictory feature lists, mismatched contact info, broken cross-references
    • Warning: inconsistent terminology (e.g., "plugin" vs "extension"), missing information in one source, outdated dates
    • Informational: stylistic differences, platform-specific wording, differing detail levels
  6. Apply trust priority: website (most authoritative) > GitHub (developer-facing) > local docs (internal use).
  7. Generate report as Markdown with: executive summary, per-pair comparison tables, terminology consistency matrix, and prioritized action items with file paths and line numbers.
  8. Save to consistency-reports/YYYY-MM-DD-HH-MM-SS.md.

Report Format

# Consistency Report — YYYY-MM-DD

## Executive Summary
| Severity | Count |
|----------|-------|
| Critical | 2     |
| Warning  | 5     |
| Info     | 3     |

## Website vs GitHub
| Field        | Website       | GitHub        | Severity |
|-------------|---------------|---------------|----------|
| Version     | v2.1.0        | v2.0.0        | Critical |
| Feature X   | listed        | missing       | Warning  |

## Action Items
1. **Critical** — Update `README.md:14` version from v2.0.0 → v2.1.0
2. **Warning** — Add "Feature X" to `README.md` feature list

Error Handling

ErrorCauseSolution
Website content unreachableURL returns 4xx/5xx or build dir missingVerify site is deployed or run local build; check WebFetch permissions
GitHub API rate limitToo many fetches in short windowPause and retry after reset window; use authenticated requests
No documentation directoryExpected paths don't existConfirm working directory; specify doc path explicitly
Empty content extractionClient-side rendering not visible to fetchUse local build output directory instead of live URL
Diff command failureFile paths contain special charactersQuote all file paths passed to diff and grep

Resources

  • Content source discovery logic: ${CLAUDE_SKILL_DIR}/references/how-it-works.md
  • Trust priority and validation timing: ${CLAUDE_SKILL_DIR}/references/best-practices.md
  • Use-case walkthroughs: ${CLAUDE_SKILL_DIR}/references/example-use-cases.md

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

SamuelChien/mega-skills-collection

Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.

SamuelChien/mega-skills-collection

Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.

SamuelChien/mega-skills-collection

Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.

SamuelChien/mega-skills-collection

2D game development principles. Sprites, tilemaps, physics, camera.

SamuelChien/mega-skills-collection

3D game development principles. Rendering, shaders, physics, cameras.

SamuelChien/mega-skills-collection

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.

SamuelChien/mega-skills-collection

Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.

SamuelChien/mega-skills-collection

Ab Test Analyzer - Auto-activating skill for Data Analytics. Triggers on: ab test analyzer, ab test analyzer Part of the Data Analytics skill category.

SamuelChien/mega-skills-collection

A B Test Config Creator - Auto-activating skill for ML Deployment. Triggers on: a b test config creator, a b test config creator Part of the ML Deployment skill category.

SamuelChien/mega-skills-collection

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

SamuelChien/mega-skills-collection

Acceptance Criteria Creator - Auto-activating skill for Enterprise Workflows. Triggers on: acceptance criteria creator, acceptance criteria creator Part of the Enterprise Workflows skill category.

SamuelChien/mega-skills-collection

Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

SamuelChien/mega-skills-collection

Accessibility Audit Runner - Auto-activating skill for Frontend Development. Triggers on: accessibility audit runner, accessibility audit runner Part of the Frontend Development skill category.

SamuelChien/mega-skills-collection

You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.

SamuelChien/mega-skills-collection

Web accessibility patterns for WCAG 2.2 compliance including ARIA, keyboard navigation, screen readers, and testing

SamuelChien/mega-skills-collection

Manage Discord channel access — approve pairings, edit allowlists, set DM/group policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the Discord channel.

SamuelChien/mega-skills-collection

Create unified specification packages across Business, Development, and Design teams. Staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria) to build shared understanding. Does not write code.

SamuelChien/mega-skills-collection

Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

SamuelChien/mega-skills-collection

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

SamuelChien/mega-skills-collection

Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.

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