Agent
Code standards enforcement worker. Reviews and fixes a batch of files to match project coding standards without changing behavior.
419 tagged claude-code-skill, measured the same way as everything else here.
Browse within: claude-ai 72claude-code-skills 68open-source 54marketing-automation 47seo 38ai-marketing 29ai-content 28content-creation 28fullstack 23agentic-framework 18agentic-os 18ai-seo 18claude-plugins 18knowledge-management 15
Agent
Code standards enforcement worker. Reviews and fixes a batch of files to match project coding standards without changing behavior.
Agent
TDD implementation worker. Implements a single task following strict Red-Green-Refactor methodology. Use for executing individual plan tasks autonomously.
Agent Claude Code
Use this agent when you need to run tests for API skills, validate skill functionalities through direct invocation, or perform end-to-end testing of API endpoints. This includes running existing test suites, exercising API skills manually to verify behavior, and validating that skill functionalities work as…
Agent
Layer 3 systematically scans ALL entry points from Layer 1 and applies issue detection rules. Unlike Layer 2 (which traces specific flows in depth), Layer 3 does a breadth-first scan to categorize issues across the entire codebase.
Agent
Layer 4 evaluates workflows from the user's perspective. While Layers 1-3 analyze code structure, Layer 4 asks: "Does this workflow help the user achieve their goal?".
Agent
Layer 5 verifies that features use real user data instead of mock/hardcoded values, and that model capabilities are fully wired into the features that need them. While Layers 1-4 audit navigation and UX, Layer 5 audits whether the data flowing through those workflows is genuine.
Agent
An agent for analysing competing products that may fall within the protected scope of a patent.
Agent
An agent module for evidence-based full patent claim charts. A claim chart compares every part of a patent claim with evidence for a potential matching product or technology.
Agent
An agent module that turns structured patent-analysis results into a report for human review. It produces the report in both Markdown and PDF formats.
AgriciDaniel/claude-code-essentials-vs-code
Agent
Research codebase thoroughly.
AgriciDaniel/claude-code-essentials-vs-code
Agent
Security-focused code analysis.
AgriciDaniel/claude-code-essentials-vs-code
Agent
Generate comprehensive tests.
agencia-conversion/agentic-seo-skills
Agent
Runs Agentic SEO Autoresearch experiment loops for skills, fixtures, regressions, and keep/reject decisions.
agencia-conversion/agentic-seo-skills
Agent
Analyzes backlinks and referring domains using configured providers, with freshness and confidence notes.
agencia-conversion/agentic-seo-skills
Agent
Initializes Agentic SEO project with the required folder layout, blank brain templates, contents directories, and first log entry. Use when creating a new project.
Agent
An automated code-review role based on five checks: tested, readable, consistent, secure, and trackable. It reviews implementation quality, edge cases, security risks, and whether decisions are recorded.
Agent
A read-only project scanner that identifies a codebase's language, package manager, framework, TypeScript settings, dependencies, and design tokens. Design tokens are shared values such as colors, spacing, and font sizes.
Agent
A requirements-writing agent that turns a plain-language request into a structured specification with requirements and acceptance criteria. Acceptance criteria describe what must be true for a feature to count as working.
Agent
Read-only auditor that scans files, directories, URLs, and MCP tool descriptions for prompt-injection attempts. Reports hidden text, override phrases, exfil constructs, fake structural markers, repo-poisoning artifacts, and rug-pull MCP descriptions with severity-tagged findings and remediation suggestions. Use for…
Agent
Delegate to Codex AI when you need alternative implementation approaches, code analysis from a different perspective, or want to explore multiple solutions. Best for complex coding tasks that benefit from a second AI opinion.
Agent
PROACTIVELY use this subagent whenever product planning calls for a dedicated pre-mortem deep run, typically after MVP scoping or solution prioritization and before committing to a plan, or when architecture context is available for risk-grounding. Also use whenever the user says "what could go wrong", "pre-mortem…
Agent
PROACTIVELY use this subagent immediately after the user writes or revises any strategy artifact: Strategy Blocks (mission/vision/strategy hierarchy), Rumelt's Good Strategy Kernel (diagnosis / guiding policy / coherent action), DHM Model (Delight/Hard-to-copy/Margin-enhancing), or Empowered Teams charter (Marty…
Agent
Per-story implementation agent. Implements exactly ONE user story from quantum.json following TDD methodology. Spawned fresh for each story with no memory of previous iterations.
Agent
Execution lifecycle manager. Reads quantum.json, queries the dependency DAG, executes stories sequentially or spawns parallel implementer subagents via native worktrees, runs two-stage review gates, handles retries, and commits passed stories. Use when running /ql-execute or when managing the quantum-loop execution…