claude-skills
claudePersonal skills - thinking techniques, debugging patterns, process workflows
14 skills
Intent Layer plugin - AGENTS.md infrastructure for AI navigation
Plugin intent-layer from marketplace orban in orban/claude-skills. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
cleanRemove the Intent Layer from a repository. Deletes all child AGENTS.md files and removes the Intent Layer section from the root CLAUDE.md.
intent-layer-compoundEnd-of-cycle learning capture and triage. Run after completing a feature, fixing a bug, or finishing any significant work. Reviews pending learnings, analyzes conversation for undocumented insights, and integrates into the Intent Layer with appropriate scope (global workflow vs local code).
intent-layer-healthQuick health check for Intent Layer - validates nodes, checks staleness, reports coverage gaps
intent-layer-maintenanceUse when maintaining an existing Intent Layer, during quarterly reviews, after significant code changes, when something confused you, or when user asks to audit/update CLAUDE.md or AGENTS.md files.
intent-layer-onboardingGet oriented in an unfamiliar codebase using its Intent Layer. Use when joining a new project, exploring a codebase for the first time, or helping someone understand "where do I start?" questions.
intent-layer-queryQuery the Intent Layer to answer questions about the codebase. Use when asking "what owns X?", "where should I put Y?", "what constraints apply to Z?", or navigating an unfamiliar codebase using its AGENTS.md hierarchy.
intent-layerSet up hierarchical Intent Layer (AGENTS.md files) for codebases. Use when initializing a new project, adding context infrastructure to an existing repo, user asks to set up AGENTS.md, add intent layer, make agents understand the codebase, or scaffolding AI-friendly project documentation.
git-historyExtract Intent Layer content from git history. Analyzes commits, PRs, and blame to discover pitfalls, contracts, architecture decisions, and entry points that should be documented in AGENTS.md files.
pr-review-miningExtract Intent Layer content from GitHub PR descriptions and review comments. Mines merged PRs for pitfalls, contracts, architecture decisions, and anti-patterns that should be documented in AGENTS.md files.
pr-reviewReview PRs against the Intent Layer. Use for reviewing AI-generated PRs or having AI review human PRs. Provides risk scoring, checklists, and contract verification.
review-mistakesInteractive review of pending mistake reports from the learning loop. Walk through each report with the user, accepting/rejecting/discarding as appropriate.
AGENTSauditorFind drift between Intent Layer nodes and current code state. Use for quarterly maintenance, post-merge review, or when hook flags accumulate. - Run validator across all nodes in parallel - Compare node timestamps vs code change timestamps - Identify stale sections where code changed but node didn't
change-trackerIdentifies Intent Layer nodes affected by code changes for targeted validation
explorerAnalyze a directory and propose AGENTS.md content. Use when setting up new Intent Layer nodes or when a directory is flagged as needing coverage. - Analyze directory structure and semantic boundaries - Extract contracts, patterns, and entry points from code - Mine git history for pitfalls and anti-p
validatorDeep validation that an Intent Layer node accurately reflects its codebase. Use after creating/updating nodes or as part of PR review. - Compare documented contracts against actual code enforcement - Verify entry points exist and are accurate - Check documented patterns are actually followed - Flag
${CLAUDE_PLUGIN_ROOT}/scripts/post-edit-check.sh "$TOOL_INPUT"
${CLAUDE_PLUGIN_ROOT}/scripts/capture-tool-failure.sh
${CLAUDE_PLUGIN_ROOT}/scripts/inject-learnings.sh
${CLAUDE_PLUGIN_ROOT}/scripts/pre-edit-check.sh
${CLAUDE_PLUGIN_ROOT}/scripts/stop-learning-check.sh
Personal skills - thinking techniques, debugging patterns, process workflows
14 skills
MCP server for MX3 Fitness gym booking - schedules, reservations, credits
1 MCP server
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
AGENTS.md as project instructions, by one option. Under claude-md-or-agents-md a project with no instruction files of its own gets its AGENTS.md files instead: a prompt.context hook asks $.fs.ancestors for every AGENTS.md and .claude/AGENTS.md from the filesystem root down to the working directory and hands them to the engine as project instruction files, which it renders, announces and withholds from agents exactly as it does CLAUDE.md, skipping any file the engine already loaded by import or link; a tool.call hook on Read attaches the ones under the project root as the engine attaches a nested CLAUDE.md. Under claude-md-and-agents-md every AGENTS.md is loaded beside CLAUDE.md. Under managed-only the project's and the person's instruction files are dropped and the organization's managed ones kept. Under claude-md the engine's walk stands alone. claude-md-or-agents-md is the default.
ADR lifecycle management — create, index, supersede, and link Architecture Decision Records to code
5 skills · 1 command · 1 agent
Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.
1 skill
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
Install the "AAS Documents & Presentations" workflow plugin from Agentic Awesome Skills.
7 skills
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.