Repository inventory

greyhaven-ai/claude-code-config

Skills indexed from this repository, with install-style signals scoped to the repo.
13 skills247 GitHub stars0 weekly installsPythonGitHubOwner profile

Overview

This skill implements a 6-phase verification system that ensures code matches its documentation by producing an automated alignment score. It identifies signature, type, behavior, error, and example mismatches and generates actionable fixes and a structured alignment report. The result is clearer documentation, fewer onboarding issues, and faster pre-release checks.

How this skill works

The system discovers code and documentation pairs, extracts signatures and examples, and performs automated analyses across six phases: discovery, extraction, analysis, classification, fix generation, and validation. It computes a weighted alignment score (signature 30%, type 25%, behavior 20%, error handling 15%, examples 10%) and classifies results into Perfect, Good, Poor, or Failing. Reports include identified mismatches, suggested fixes, and a verification checklist to guide remediation.

When to use it

  • After code changes that might affect public APIs or examples
  • During pre-release documentation verification and QA gates
  • When onboarding new developers to reduce ramp-up friction
  • When a user reports ‘docs out of sync’ or requests documentation verification
  • As a periodic audit to detect documentation drift

Best practices

  • Run the verification as part of CI for pull requests touching public interfaces
  • Prioritize fixes by alignment score component (start with signature and type mismatches)
  • Attach the generated alignment report to the related issue or PR for context
  • Use the 101-point verification checklist to validate manual and edge-case scenarios
  • Re-run validation after applying suggested fixes to ensure score improvement

Example use cases

  • Detecting a changed function signature after a refactor and generating a doc update patch
  • Verifying example snippets match actual behavior and error conditions before release
  • Onboarding: running alignment checks on key libraries to highlight doc gaps for new hires
  • Post-merge verification to ensure a hotfix didn’t introduce documentation drift
  • Automated gating to block releases when alignment score falls into Poor or Failing ranges

FAQ

The score is a weighted sum: Signature 30%, Type 25%, Behavior 20%, Error handling 15%, Example correctness 10%.

What score thresholds indicate urgent fixes?

Scores 0–59 are Failing and require immediate attention; 60–79 are Poor and should be fixed before release; 80–94 are Good; 95–100 are Perfect.

13 skills

documentation-alignment
Automation

This skill verifies code against documentation using a 6-phase alignment process, delivering scoring and actionable fixes to reduce onboarding friction.

Ci CdCode ReviewDocsPython+2
onboarding-coordination
Automation

This skill automates developer onboarding with personalized plans, Linear integration, knowledge base setup, and milestone tracking for efficient team growth.

DevopsDocsProductPython+1
code-quality-analysis
Backend

This skill performs security review, clarity refactoring, and synthesis analysis to improve code quality across files and pre-deployment checks.

Ci CdCode ReviewRefactorSecurity+2
tdd-orchestration
Automation

This skill orchestrates multi-agent TDD workflows with strict red-green-refactor, automated test generation, and 90+ percent coverage gates.

Ci CdPythonRefactorTesting+2
plugin-audit
Ai

This skill audits Claude Code plugins against the latest changelog, validating structure, detecting deprecations, and recommending best practices for release

Code ReviewDocsSecurityPython
database-conventions
Backend

This skill helps you design multi-tenant databases with snake_case fields, RLS, and migrations for Drizzle and SQLModel across schemas.

DatabaseMigrationPythonSql+1
project-structure
Backend

This skill helps you organize Grey Haven projects by enforcing TanStack Start frontend and FastAPI backend structure for new projects and refactors.

DevopsFastapiFrontendFullstack+2
api-design-standards
Api

This skill helps you design RESTful APIs with FastAPI and Pydantic following Grey Haven standards to ensure multi-tenant, well-documented endpoints.

BackendDocsFastapiSecurity+2
evaluation
Ai

This skill evaluates LLM outputs using multi-dimensional rubrics to ensure quality, handle non-determinism, and apply LLM-as-judge patterns for robust testing.

AnalyticsTestingPython
smart-debugging
Ai

This skill provides AI-powered debugging with stack trace analysis and automated fix suggestions to speed root cause investigations.

AutomationBackendDebuggingPython+1
tdd-typescript
Debugging

This skill helps you implement TypeScript features with strict red-green-refactor TDD using Vitest for React components and comprehensive coverage.

FrontendReactRefactorTesting+3
tdd-python
Api

This skill helps you implement Python features using strict red-green-refactor TDD with pytest, FastAPI, and Pydantic testing patterns.

FastapiIntegration TestsPythonRefactor+3
suite-audit
Ai

This skill analyzes a plugin suite with subagents to identify usability improvements, gaps, duplicates, and workflow optimizations, delivering prioritized,

AnalyticsAutomationProductivityUx+1
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