Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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scaffold
Project scaffolding - generate boilerplate for common project types with best-practice defaults. Use for: scaffold, boilerplate, template, new project, init, create project, starter, setup, project structure, directory structure, monorepo, microservice, API template, web app template, CLI tool template, library template.
0xDarkMatter/claude-mods 16
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tailwind-ops
Tailwind CSS utility patterns, responsive design, component patterns, v4 migration, and configuration. Use for: tailwind, tailwindcss, utility classes, responsive design, dark mode, tailwind v4, tailwind config, tw, container queries, @apply, prose, typography, animation.
0xDarkMatter/claude-mods 16
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cli-ops
Patterns for building production-quality CLI tools with predictable behavior, parseable output, and agentic workflows. Triggers: cli tool, command line tool, build cli, cli patterns, agentic cli, cli design, typer cli, click cli.
0xDarkMatter/claude-mods 16
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python-observability-ops
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
0xDarkMatter/claude-mods 16
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git-ops
Git operations orchestrator - commits, PRs, branch management, releases, changelog. Routes lightweight reads inline, dispatches heavy work to background Sonnet agent. Triggers on: commit, push, pull request, create PR, git status, git diff, rebase, stash, branch, merge, release, tag, changelog, semver, cherry-pick, bisect, worktree.
0xDarkMatter/claude-mods 16
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skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
0xDarkMatter/claude-mods 16
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log-ops
Log analysis and JSONL processing - structured extraction, cross-log correlation, timeline reconstruction, pattern search
0xDarkMatter/claude-mods 16
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data-processing
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.
0xDarkMatter/claude-mods 16
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testgen
Generate tests with expert routing, framework detection, and auto-TaskCreate. Triggers on: generate tests, write tests, testgen, create test file, add test coverage.
0xDarkMatter/claude-mods 16
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vue-ops
Vue 3 development patterns, Composition API, Pinia state management, Vue Router, and Nuxt 3. Use for: vue, vuejs, composition api, pinia, vue router, nuxt, nuxt3, script setup, composable, reactive, defineProps, defineEmits, defineModel, v-model, provide inject, vue3.
0xDarkMatter/claude-mods 16
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python-cli-ops
CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.
0xDarkMatter/claude-mods 16
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claude-code-debug
Troubleshoot Claude Code extensions and behavior. Triggers on: debug, troubleshoot, not working, skill not loading, hook not running, agent not found.
0xDarkMatter/claude-mods 16
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screenshot
Find and display recent screenshots. Triggers: screenshot, check screenshot, show screenshot, recent screenshot, last screenshot.
0xDarkMatter/claude-mods 16
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skill-name
A clear, concise description of what this skill does and when to use it. Include practical triggers and use cases here (not in the body).
meaningfy-ws/agent-skills 1
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architecture
meaningfy-ws/agent-skills 1
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cosmic-python
Clean Architecture and Cosmic Python guidance for well-tested, layered Python systems. Use for designing Python projects with layered architecture (models, adapters, services, entrypoints), enforcing Clean Code and SOLID principles, testing strategies (unit tests, BDD, Gherkin), CI/CD setup (pytest, tox, importlinter), and architectural decision-making (ADRs). Applicable to systems requiring strict boundary enforcement, clean separation of concerns, and comprehensive test coverage.
meaningfy-ws/agent-skills 1
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clarity-gate
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
frmoretto/clarity-gate 25
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clarity-gate
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
frmoretto/clarity-gate 25
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clarity-gate
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
frmoretto/clarity-gate 25
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clarity-gate
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
frmoretto/clarity-gate 25
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healthsim-rxmembersim
RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.
mark64oswald/healthsim-workspace 7
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healthsim-patientsim
Generate realistic clinical patient data including demographics, encounters, diagnoses, medications, labs, and vitals. Use when user requests: (1) patient records or clinical data, (2) EMR test data, (3) specific clinical cohorts like diabetes or heart failure, (4) HL7v2 or FHIR patient resources.
mark64oswald/healthsim-workspace 7
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healthsim-trialsim
Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.
mark64oswald/healthsim-workspace 7
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healthsim-membersim
MemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.
mark64oswald/healthsim-workspace 7