content-studio
claudecodexContent studio for managing thought leadership content with a visual editor, Claude Code skills, and utility scripts.
8 skills
Build an MCP server and bundle your tools into a shareable plugin, end to end. Two skills: build-mcp scaffolds one server; build-plugin packages skills, hooks, agents, and MCP servers into an installable plugin and ships it via a marketplace. Both branch on audience (personal, org, public).
Plugin tool-build-kit from marketplace techwolf-ai-first in techwolf-ai/ai-first-toolkit. Commands read from the repo's manifest — 1 month ago.
build-mcpBuild an MCP server end to end, tailored to how it will be used. Use when asked to build an MCP, create an MCP server, wrap an API as a tool, make a tool for Claude, expose a service to an agent, build a Claude connector, or turn a service into MCP tools. Asks up front who the server is for (just me
build-pluginBundle skills, hooks, agents, or an MCP server into one installable Claude Code plugin and ship it. Use when asked to bundle tools into one plugin, package tools for a colleague, publish a plugin to a marketplace, share my tools with my team, or ship a plugin. Asks who it's for and where it's hosted
Content studio for managing thought leadership content with a visual editor, Claude Code skills, and utility scripts.
8 skills
AI-augmented management tooling for people managers. Surfaces the right context at the right time. Adapts to your org's performance and management frameworks.
8 skills
Build and query a structured, evidence-backed knowledge base. Every answer cites literal quotes from your KB files.
4 skills
Three skills for session continuity and autonomous runs. session-search finds past Claude Code and Cowork sessions by title, cwd, time range, or full-text content. handoff writes a tight resume note so a fresh session picks up exactly where the last one stopped. goal-prompt turns a task into a ready-to-paste /goal command with a measurable end state, proof, and constraints.
3 skills
Two skills for analyzing your Claude history. token-doctor diagnoses where your Claude Code + Cowork spend goes, including sub-agent fan-out and model mix. task-profile mines sessions into a role-level task map with friction and tokens. (session-search moved to session-tools.)
2 skills
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
1 skill
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
1 command · 3 agents
Duende development skills and agents for Claude Code — covering OAuth/OIDC protocols, IdentityServer, token management, ASP.NET Core authentication/authorization, BFF patterns, and secure identity architecture
24 skills · 2 agents
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
9 skills · 1 command · 8 agents
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
35 skills · hooks
Architecture diagrams, explanations and Mermaid source for any public GitHub repository, from gitdiagram.com.
2 skills · 1 MCP server
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
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