Local-first, evidence-controlled academic writing workflows for AI agents, with bounded revision, clean-room review, and release governance.
README-first research reproduction skills with bounded execution, auditable evidence, and byte-preserving README annotations.
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
Shape rough requests into evidence-backed /goal completion contracts — an Agent Skill for Claude Code and Codex
GEOHub: open, evidence-bounded GEO and SEO agent skills for AI Search, with research-grounded discovery, diagnosis, content, measurement, and one-line SEO planning.
SEO foundation checks as an Agent Skill: give it a URL, get a crawler's-eye pass/fail report with evidence. 26 structural checks, zero LLM, deterministic.
Agent Skill: make Claude write in Barbara Minto's Pyramid Principle - answer first, grouped reasons, evidence under each.
An open-source AI SEO coach for beginners: practice on your own website, make evidence-based decisions, and track verifiable progress without expensive tools.
Agent Skill for code and test smell audits. Evidence-ranked findings from Refactoring, Clean Code, and the test-smell literature. Formerly pragmatic-code-review.
Meet Reviewer 2 before they meet you ! A Claude Code skill that red-teams your paper draft — a simulated peer-review panel + an evidence-grounded fix list, before you submit.
Evidence-aware interactive visual explainers for Codex and Claude Code.
A portable project-planning skill for Codex, Claude Code, pi, Hermes, and Agent Skills-compatible harnesses. Evidence before build advice.
An old coder's strategy for the agent era: don't read the code — make it run the gauntlet. Evidence-first development skill for coding agents, inspired by Uncle Bob.
Subject-aware minimal-zine image production for Agent Skills: art direction, generation, series, evidence, and real-bitmap QA.
An agent skill for evidence-based mouse sensitivity tuning, cross-game conversion, and gameplay review. Works with Codex, Claude Code, and Agent Skills hosts.
Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.
Agent skills and an AGENTS.md workflow template — isolate in worktrees, build to a service layer, prove with evidence, ship with before/after proof and Greptile review loops. For Claude Code, Cursor, and Codex.
汇报.skill · pitchcraft — Structured persuasion for tech leads, PMs, and founders: kickoff, status, wrap-up, pitch, and solution selling on one 5-part framework (Hook→Context→Proposal→Evidence→Ask), with AI material intake and a pre-submit checklist. Works with Claude Code, Cursor, Codex, and more.
Open-source design-method engine for Claude Code, Codex & Cursor. 23 agent skills for fixed design judgment, multiple grammars, semantic palettes, reference compilation, and evidence-verified UI. MIT.
German AI Text Humanizer for Claude Code & Codex. Audits 72 German AI-writing patterns using deterministic linters and evidence-safe rewrites. No fact-bending, no bypassing tricks.
Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.
Give your CLAUDE.md / AGENTS.md a checkup — audit size vitals, dead references, drifted claims, and backtest every rule against your own session history to see which rules get followed, ignored, or never used. A doctor-style report that cites its evidence.
Agent skills for fallow, codebase intelligence for TypeScript and JavaScript. Teaches AI agents how to find unused code, duplication, circular deps, complexity hotspots, architecture drift, design-system drift, and (with Fallow Runtime) hot-path and cold-path evidence. Works with Claude Code, Cursor, Codex, Gemini CLI, and 30+ agents.
Data Journalist Agent: Transforming Data into Verifiable Multimodal Story