TechWolf AI-First Toolkit

Open-source agent skills from TechWolf's AI-First Bootcamp, for Claude Code, Codex, and Google Antigravity.

New here? Add the marketplace, then install any plugin below. Full commands in Quick start.

claude plugin marketplace add techwolf-ai/ai-first-toolkit

Plugins at a glance

7 plugins, 28 skills. One install command each.

Not using Claude Code? Every skill follows the agentskills.io spec and installs into Codex or Google Antigravity via ./install.sh. One caveat on per-platform support:

• Cross-platform (all skills except below): ai-firstify, content-studio, knowledge-base, people-management, techwolf-brand-kit, tool-build-kit. These operate on your project files and prompts, so they work the same on Claude Code, Codex, and Antigravity.

• Host-aware (the ai-adoption plugin): token-doctor, task-profile, session-search read agent session history off disk, which is per-platform. Each script detects the host (via the platform field install.sh stamps into each installed skill; override with AI_FIRST_PLATFORM=claude|codex|antigravity) and routes or degrades rather than scanning the wrong path. Support today:

  Skill	Claude Code / Cowork	Codex (~/.codex/sessions)	Antigravity
  session-search	yes	yes	no (degrades)
  token-doctor	yes	yes (cost via OpenAI rates)	no (degrades)
  task-profile	yes	yes	no (degrades)

  Antigravity is unsupported for session analysis on purpose: the IDE stores conversations AEAD-encrypted at rest (~/.gemini/antigravity/conversations/*.pb), and the unencrypted CLI store carries no parseable turn/token content. Where a skill can't honestly read a platform's data it prints a clear "not available on <platform>" message and exits, never empty or misleading output.

What's inside

ai-firstify: AI-First Skill

Audit, re-engineer, or bootstrap any codebase to align with 9 AI-first design principles and 7 design patterns. Three modes:

• Audit: deep analysis across 7 dimensions with a scored report
• Re-engineer: actively restructures your project to be AI-first
• Bootstrap: guides new project setup with discovery questions

content-studio: Thought Leadership Pipeline

Full content pipeline for LinkedIn posts, blog posts, and opinion pieces. Includes 8 specialized skills, a visual Kanban editor, and hooks that auto-start the companion app.

• Write: LinkedIn posts, blog posts, opinion pieces with voice-matched style
• Brainstorm: generate ideas from URLs, files, or recent posts
• Analyze: engagement pattern analysis across published content
• Setup: interactive onboarding that learns your voice and creates a personalized content repo

people-management: AI-Augmented Management

AI-augmented tooling for people managers. Surfaces the right context at the right time, before meetings, during 1:1 prep, when triaging messages, or reviewing performance. Adapts to any org's frameworks and values.

• Setup: interactive onboarding (10 phases) that discovers your team, frameworks, values, and ways of working
• 8 skills: meeting prep, 1:1 prep, triage, customer status, priority planner, team health, performance cycle
• Framework-agnostic: configures to your org's performance dimensions, rating scale, management competencies, and values

knowledge-base: Evidence-Backed Knowledge Base

Build and query a structured knowledge base where every answer cites literal quotes from your KB files. Prevents hallucinations by grounding all responses in documented facts.

• Setup: interactive onboarding that defines categories (flat or nested), scaffolds the KB structure, and populates from your existing sources (Notion, Slack, Confluence, local files)
• KB Answer: answer questions with evidence-backed citations from your KB
• KB Import: import knowledge from documents (Markdown, PDF, plain text) into structured entries, single-document or bulk-from-folder
• KB Refresh: add new sources or re-scrape existing ones to keep the KB current
• KB Search: kb-search.py keyword-ranked lookup across title, tags, description, and body, with category and tag filters

ai-adoption: Claude History Analytics

Three skills for working with your Claude Code + Cowork session history. Local-only, no API calls.

Host-aware (reads session history off disk). All three skills work on Claude Code / Cowork and Codex (~/.codex/sessions); token-doctor prices Codex usage with OpenAI rates. Antigravity session analysis is unsupported (encrypted IDE store). Each script detects the host and degrades with a clear message rather than scanning the wrong path. Every other plugin in the toolkit is fully cross-platform. See Not using Claude Code?.

• token-doctor: diagnoses where your token spend goes (length distribution, marathon share, cache rebuilds, per-project health) and writes a doctor-style terminal report. Opt-in deep dive fans out parallel Haiku subagents over hotspot sessions for habit-level recommendations.
• task-profile: mines sessions into a role-level map of what you actually do with AI, ranked by frequency and friction. Emits a shareable CSV, an interactive HTML explorer, AI-first coaching cards, and up to five skill proposals.
• session-search: finds a specific past session by title, working directory, time range, or free-text content across every transcript on disk.

techwolf-brand-kit: Brand Assets

Official TechWolf brand assets for AI-generated outputs. Ensures agents use the correct logo files instead of guessing or approximating.

• TechWolf Logo: 4 variants (dark, white, mono-dark, mono-white) in SVG and PNG
• currentColor SVG: inline variant that inherits color from parent CSS for themed contexts

tool-build-kit: Build an MCP Server

End-to-end guide for building a Model Context Protocol server, from first questions to published distribution. Asks who the server is for before building anything, then tailors every phase to that answer.

• build-mcp: one skill, five phases (analyze, build, deploy, scale, distribute). Establishes audience (personal / org / public) and runtime (local stdio / hosted HTTP) with AskUserQuestion before writing a line of code. Builds on the Anthropic mcp-builder skill for implementation depth and adds the scope-and-distribution decision flow it lacks.
• Branch table drives the deploy and distribute phases across five targets: personal local, org local, org hosted, public package, public hosted.
• 6 reference files loaded on demand: transports, local deploy, marketplace distribution, scaling, Python and TypeScript quickstarts.

Quick start

Claude Code

claude plugin marketplace add techwolf-ai/ai-first-toolkit
claude plugin install ai-firstify@techwolf-ai-first
claude plugin install content-studio@techwolf-ai-first
claude plugin install people-management@techwolf-ai-first
claude plugin install knowledge-base@techwolf-ai-first
claude plugin install ai-adoption@techwolf-ai-first
claude plugin install techwolf-brand-kit@techwolf-ai-first
claude plugin install tool-build-kit@techwolf-ai-first

Codex

Skills follow the agentskills.io spec:

./install.sh
./install.sh ai-firstify
./install.sh content-studio
./install.sh people-management
./install.sh knowledge-base
./install.sh ai-adoption
./install.sh techwolf-brand-kit
./install.sh tool-build-kit

./install.sh list
./install.sh verify
./install.sh update ai-firstify
./install.sh uninstall ai-firstify
./install.sh --target ~/custom/

Google Antigravity

The same skills install into Antigravity, which keeps one self-contained dir per plugin under ~/.gemini/config/plugins/. Pass --ide antigravity:

./install.sh install --ide antigravity                 # all plugins
./install.sh install ai-firstify --ide antigravity     # one plugin
./install.sh list --ide antigravity
./install.sh uninstall ai-firstify --ide antigravity

Each plugin installs as ~/.gemini/config/plugins/<plugin>/ with a plugin.json, an installed_version.json, and a skills/ directory, the same shape Antigravity uses for its own plugins. For repo-side discovery as a marketplace, Antigravity reads .agents/plugins/marketplace.json (the vendor-neutral .agents/ standard), and each plugin carries an Antigravity plugin.json marker at plugins/<plugin>/plugin.json. Skills are the same SKILL.md files used by Claude Code and Codex, no per-target rewrite.

Repository structure

ai-first-toolkit/
├── .claude-plugin/
│   └── marketplace.json        # Claude Code marketplace manifest
├── .agents/
│   └── plugins/
│       └── marketplace.json    # Antigravity / vendor-neutral marketplace manifest
├── plugins/
│   ├── ai-firstify/            # Auditor & re-engineer (1 skill, 9 reference docs)
│   ├── content-studio/         # Content pipeline (8 skills, visual editor, hooks)
│   ├── people-management/      # Management tooling (8 skills, 5 reference docs)
│   ├── knowledge-base/         # Evidence-backed KB (4 skills, templates, index + verify scripts)
│   ├── ai-adoption/            # Claude history analytics (3 skills: token-doctor, task-profile, session-search)
│   ├── techwolf-brand-kit/     # Brand assets (logo variants in SVG + PNG)
│   └── tool-build-kit/         # MCP server builder (1 skill: build-mcp, 6 reference files)
├── install.sh                  # Codex + Antigravity skill installer
└── README.md

Each plugin lives in plugins/<name>/ with a .claude-plugin/ manifest, an Antigravity plugin.json marker, and a skills/ directory of SKILL.md files shared across all targets. See individual plugin READMEs for details:

• ai-firstify README
• content-studio README
• people-management README
• knowledge-base README
• ai-adoption README
• techwolf-brand-kit README
• tool-build-kit README

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT. See CHANGELOG.md for release history.