By ajbmachon
Debug, test, and write cleaner code with a systematic debugging framework, test-first enforcement, testing trophy strategy, and clean code review agent. Also includes linter setup, prompt engineering, creative ideation via verbalized sampling, multi-mode analytical thinking, content analysis, and skill authoring tools.
Use this agent when you need to review code for adherence to Robert C. Martin's Clean Code principles. Trigger this agent: - After implementing a new feature or module - Before committing significant code changes - As part of orchestrated code documentation with subagents - During code review sessions - When refactoring existing code - After writing a logical chunk of functionality Examples: <example> user: "I just finished implementing the user authentication module. Here's the code:" [code provided] assistant: "Let me use the clean-code-reviewer agent to analyze this code for Clean Code compliance and provide a remediation report." <uses Task tool to invoke clean-code-reviewer agent> </example> <example> user: "Can you review the PaymentProcessor class I just wrote?" assistant: "I'll launch the clean-code-reviewer agent to perform a comprehensive Clean Code analysis and generate a structured remediation report." <uses Task tool to invoke clean-code-reviewer agent> </example> <example> user: "I've completed the refactoring of the order management system. Please check if it follows clean code practices." assistant: "I'm invoking the clean-code-reviewer agent to evaluate your refactored code against Robert C. Martin's Clean Code principles." <uses Task tool to invoke clean-code-reviewer agent> </example>
Use this agent when you need to look up current software documentation, API syntax, library usage patterns, or best practices that may be beyond your training data. This agent should be invoked proactively whenever working with libraries, frameworks, or APIs where accuracy and currency are critical - whether implementing, reviewing, auditing, or answering questions about specific technologies.
USE WHEN distill, extract skill, capture patterns, teach from conversation, learn from session, skill from conversation. Analyzes conversations to extract user guidance patterns — corrections, questions, quality gates, analysis modes — and collaboratively distills them into permanent, replayable skills that teach Claude behavioral dispositions.
USE WHEN brainstorm, generate options, break out of default thinking, need diverse alternatives, explore creative angles, the first answer feels too obvious, name something, come up with hooks, find unconventional approaches. Applies Verbalized Sampling (Zhang et al., 2024) — generate multiple low-probability variants internally before selecting output. Counteracts the centroid bias of alignment-trained models. Reports measured gains of 1.6–2.1× diversity and ~25% quality improvement.
USE WHEN extract wisdom, analyze video, analyze podcast, analyze article, extract insights, key takeaways, what did I miss, extract from YouTube, content analysis, insight report. Content-adaptive wisdom extraction — detects what domains exist in the content and builds custom sections (not static IDEAS/QUOTES). Produces tailored insight reports from videos, podcasts, interviews, and articles at five selectable depth levels.
USE WHEN transferring a PAI skill to a standard Claude Code plugin, porting skills between environments, strip PAI specifics, adapt PAI skill for marketplace, extract skill from PAI. Guides the transformation of PAI-embedded skills into standalone plugin-compatible skills — strip PAI-specific scaffolding, decouple from the PAI Algorithm and memory system, apply Anthropic skill best practices.
USE WHEN improve prompt, write prompt, craft prompt, analyze prompt, prompt engineering, subagent prompts. Analyze, craft, and improve prompts using 19 research-backed techniques. Modes - Analyze (critique existing), Craft (build from scratch), Teach (explain techniques), Quick Fix (fast improvements).
Uses power tools
Uses Bash, Write, or Edit tools
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A collection of generally useful Claude Code skills that work across all Anthropic surfaces. These skills are not workflow-specific—they're universal productivity boosters for anyone using Claude Code.
Model compatibility: All skills are tuned for Opus 4.7 (current). They also work on Opus 4.6 and Sonnet 4.6. The 4.7 tuning means more literal instruction-following, fewer redundant tool calls, and reasoning nudges calibrated to the new effort parameter. See CHANGELOG.md for details.
ajbm-dev, v1.3.0)| Skill | Description |
|---|---|
| systematic-debugging | Four-phase debugging framework: root cause → pattern analysis → hypothesis → implementation. No fixes without understanding. |
| testing-best-practices | Comprehensive testing quality: 15 evidence-based principles, Testing Trophy strategy, AI oracle prevention, disciplined mocking, and honest reporting. |
| test-driven-development | Strict TDD enforcement: write failing test first, watch it fail, write minimal code to pass. No production code without a failing test. |
| setup-linter | Auto-detect, install, and configure project-specific linting with a Stop hook. Supports JS/TS, Python, Rust, Go, Deno. |
| prompt-craft | 19 research-backed prompting techniques with model-specific guidance (Claude 4.6/4.7, GPT-5, o1/o3, DeepSeek, Gemini 3, Kimi K2, Qwen). Modes: Analyze, Craft, Teach, Quick Fix. |
| authoring-skills | Complete guide for writing skills—SKILL.md best practices, plugin development, triggers, hooks, Anthropic guidelines. |
| be-creative | Applies Verbalized Sampling (Zhang et al. 2024) — generates multiple low-probability candidates before selecting output. Counteracts centroid bias from alignment training. Reports 1.6–2.1× diversity, ~25% quality gain. |
| thinking | Router for five analytical modes: first-principles, iterative-depth (multi-lens), council (debate), red-team (adversarial), science (hypothesis-test cycles). Each mode has its own workflows. |
| pai-skill-transfer | Methodology for porting PAI-embedded skills into standard Claude Code plugins. Strip/rewrite/keep/add checklist, decision heuristics for ambiguous cases, QC grep commands. |
| skill-distiller | Extracts guidance patterns from conversations (corrections, questions, quality gates, analysis modes) and distills them into permanent replayable skills. |
| content-analysis | Content-adaptive wisdom extraction from videos/podcasts/articles/YouTube. Detects which wisdom domains exist in the source and builds custom sections rather than forcing fixed headers. |
| docs-research-specialist (agent) | Looks up current documentation, API syntax, library best practices. Prevents hallucinated or outdated implementations. Exa MCP > Context7 > WebFetch priority. |
| clean-code-reviewer (agent) | Analyzes code against Robert C. Martin's Clean Code principles. Produces tiered remediation reports (🟢/🟡/🔴). Activated via setup-linter. |
ajbm-interview, v2.0.0)| Skill | Description |
|---|---|
| interview | Transform rough ideas into implementation-ready specs. Seven workflows: DevSpec, BusinessIdea, DocumentDraft, DesignReview, Ideation, DevilsAdvocate, QuickClarify. Evolves from Critical Challenger to Expert Partner. |
ajbm-communication, v1.0.0)| Skill | Description |
|---|---|
| tactical-empathy | Chris Voss negotiation methodology — situation analysis (produces dossier files) and sparring (roleplay with inline [COACH:] coaching). Salary, deals, difficult conversations, persuasion. |
ajbm-agent-align, v1.0.0)| Skill | Description |
|---|---|
| agent-align | AI-to-AI delegation alignment — verifies context, constraints, and intent survive handoffs in multi-agent systems. Four levels (Inline, Quick, Full, Deep). |
ajbm-business, v1.0.0)| Skill | Description |
|---|---|
| hormozi-pitch | Alex Hormozi's $100M Offers methodology for creating irresistible offers, pricing, guarantees, and value propositions. |
| x-post-writer | Twitter/X copywriting system for high-engagement social media content with viral frameworks and examples. |
ajbm-social, v1.0.0)| Skill | Description |
|---|---|
| twitter-cli | Read from and write to Twitter/X — fetch bookmarks, search tweets, read timelines, view profiles, post tweets. Cookie-based auth, no API key needed. |
ajbm-security, v1.0.0)Blocks dangerous bash commands and sensitive file access via the smart-guard PreToolUse hook. No skills — it's a guardrail plugin. Enable/disable via /plugin.
npx claudepluginhub ajbmachon/ajbm-skills --plugin ajbm-devClaude Code skills for social media: Twitter/X bookmark management, search, timeline reading, posting, and content workflows.
Claude Code skills for negotiation, persuasion, and human communication. Includes tactical-empathy (Chris Voss methodology with situation analysis and roleplay sparring).
Structured elicitation and spec crystallization through rigorous challenge, assumption surfacing, and constraint enforcement. Workflows: DevSpec, BusinessIdea, DocumentDraft, DesignReview, Ideation, DevilsAdvocate, QuickClarify.
Security guardrails for Claude Code. Blocks dangerous bash commands and sensitive file access. Enable/disable via plugin settings.
Structured AI-to-AI alignment protocol for multi-agent delegation. Three graduated levels (Inline, Quick, Full) with constraint inheritance chains. Prevents context compression loss, assumption stacking, and principal intent drift.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.