ai-knowledge
claudeKeeps a git-versioned team knowledge base in docs/kb/ next to Claude Code's per-machine auto memory: capture learnings, import and search articles, load them by task, and browse the base in Obsidian
17 skills
Audits how ready a site's pages are to be picked as the single direct answer in featured snippets, voice assistants and answer boxes: answer-first paragraphs, question headings, definitions, real lists and tables, snippet controls and FAQ sections. Maps target questions to pages, builds FAQ sections and applies fixes
Plugin ai-aeo from marketplace claude-code-plugins-dev in charlesjones-dev/claude-code-plugins-dev. Commands read from the repo's manifest — 1 month ago.
aeo-auditAudit a site's Answer Engine Optimization (AEO): how ready its pages are to be picked as the single direct answer in a featured snippet, voice assistant reply or answer box. Checks answer-first formatting, question headings, concise definitions, real lists and tables, FAQPage/QAPage markup and snipp
aeo-faqBuild, update or validate visible FAQ sections and, if you want it, their FAQPage or QAPage JSON-LD. Drafts questions and answers from a page's own content, the latest question map or answers you supply, renders the FAQ and any markup from one data source, and checks existing markup against the visi
aeo-fixApply fixes from the latest /aeo-audit report: answer-first rewrites, question headings, definitional openings, real lists and tables, accordions that keep answers in the HTML, FAQPage markup for visible FAQs, and snippet-control changes after you confirm intent. Shows a diff for each change and sup
aeo-questionsBuild a question map for Answer Engine Optimization: the questions a site should answer, the page that answers each one, and the gaps. Starts from the questions the site already asks, adds your target questions, question-shaped queries from a Search Console or Bing Webmaster Tools export, or web-sea
Keeps a git-versioned team knowledge base in docs/kb/ next to Claude Code's per-machine auto memory: capture learnings, import and search articles, load them by task, and browse the base in Obsidian
17 skills
Sets up an Azure DevOps project and its MCP server, creates Features, User Stories and Tasks, logs hours to stories, and builds weekly timesheet reports
7 skills
Audits a repository for security problems and saves Markdown and JSON reports that track findings across audits, plus a live-site dependency scan, file-access deny rules for secrets and pnpm supply-chain hardening
4 skills · 2 agents
Catches Xcode Cloud and TestFlight blockers before upload (XcodeGen pbxproj drift, static build numbers, missing ci_scripts, macOS App Store entitlements/Info.plist, headless-CI keychain test failures, ad-hoc signing entitlement rejections, flaky-UITest release gating), diagnoses ITMS rejection emails and red CI logs, scaffolds Xcode Cloud CI, runs a local verify gate, and reviews Swift 6 strict-concurrency and SwiftUI code
5 skills · 1 agent
Generates .gitignore files, commits and pushes with a message in your repo's style, opens PRs, and loops a PR through Codex Code Review until it comes back clean
4 skills
Runs typecheck, lint, format, security and test checks before you commit, ships a change as commit, push and PR, writes a Development Principles section, and manages a library of CLAUDE.md behavior rules
4 skills
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.