Browse Skills — Page 165

liveview-code-review

existential-birds/beagle

Reviews Phoenix LiveView code for lifecycle patterns, assigns/streams usage, components, and security. Use when reviewing LiveView modules, .heex templates, or LiveComponents.

liveview-patterns

oliver-kriska/claude-elixir-phoenix

Build LiveView: async data (assign_async), PubSub (check connected?), phx-change events, form components/modals/uploads, streams for lists, live_patch. Use when handling interactions, debugging events, or tracking Presence.

lksg-csddd-lieferkettensorgfalt

Klotzkette/claude-fuer-deutsches-recht

Unternehmen ab 1000 Mitarbeitern muss Lieferketten-Sorgfaltspflichten nach LkSG und kuenftig CSDDD erfuellen. LkSG seit 1.1.2023 CSDDD Richtlinie 2024/1760 Phasing ab 2027. Normen LkSG §§ 3 4 8 11 24 CSDDD Art. 1 ff. Pruefraster Anwendungsbereich Sorgfaltspflichten Risikoanalyse Beschwerdemechanismus BAFA-Aufsicht. Output Risikoanalyse-Template Grundsatzerklaerung Beschwerdeverfahren. Abgrenzung zu esg-greenwashing-csrd (Berichtspflicht) und umweltrecht-transaktionen-dd (M&A).

llama-cpp

NousResearch/hermes-agent

llama.cpp local GGUF inference + HF Hub model discovery.

llama-factory

Orchestra-Research/AI-Research-SKILLs

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

llamacloud-index

run-llama/llamaparse-agent-skills

Use this skill whenever a question should be answered from documents stored in a LlamaCloud Index v2 knowledge base — retrieving passages, locating indexed files, or searching indexed content through the LlamaParse Platform REST API with curl. Teaches agentic retrieval — navigating an index like a file system instead of one-shot RAG.

llamactl-qa

run-llama/llama-agents

Plan and run a design-QA / "taste test" of llamactl changes against a real backend. Cooperatively builds a small matrix of cases worth eyeballing, runs them against a chosen backend (test environment by default, local kind+tilt for new API contract changes), and writes a design-review report to `thoughts/shared/qa/`. Use this for changes to `llamactl` commands, output formats, auth, or control-plane API contracts. For UI/template smoke tests, use `llamactl_browser_test` instead.

llamafile

TerminalSkills/skills

Expert guidance for llamafile, the tool that packages LLMs into single executable files that run on any OS (Linux, macOS, Windows, FreeBSD) without installation. Helps developers create portable AI applications, run models offline, and distribute LLMs as self-contained binaries with built-in web UI and OpenAI-compatible API.

llamaguard

Orchestra-Research/AI-Research-SKILLs

Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.

llamaindex

Orchestra-Research/AI-Research-SKILLs

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

llamaparse

run-llama/llamaparse-agent-skills

Use this skill when the user asks to parse the content of an unstructured file (PDF, PPTX, DOCX...)

llamaparse-mcp

run-llama/llamaparse-agent-plugins

Skill on how to use the LlamaParse MCP tools

llava

NousResearch/hermes-agent

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

lld-reviewer

TestAny-io/testany-agent-skills

LLD review, Low-Level Design review, 详细设计评审。Use when: 实现前需要审查 LLD 与 PRD/HLD/API Contract/Guardrails 的一致性。

lld-writer

TestAny-io/testany-agent-skills

Write LLD, Low-Level Design, 写详细设计。Use when: PRD/HLD/API Contract 完成后需要写模块设计、接口设计、实现级技术方案。

llm-ai-hunter

H-mmer/pentest-agents

LLM and Agentic AI vulnerability specialist. Covers OWASP LLM Top 10 v2025 (LLM01-LLM10) and OWASP Agentic AI Top 10 (AA-01..AA-10). Dispatcher passes subtype — 'prompt-injection', 'indirect-injection', 'tool-abuse', 'rag-poisoning', 'vector-idor', 'mcp', 'model-server', 'output-handling', or 'ascii-smuggling' — in the task; falls back to inference. Use when a target ships a chatbot, RAG / search-over-docs, AI assistant, MCP server, agentic tool-use plugin, model registry, inference server, or any 'AI feature' that processes attacker-influenceable text or files.

llm-app-patterns

tranhieutt/software_development_department

Provides architectural patterns for LLM-powered applications and AI assistants, including prompt engineering, RAG, agent loops, conversation management, and evaluation. Use when building AI-based features, chatbots, or complex AI system architectures.

llm-app-patterns-v2

diegosouzapw/awesome-omni-skills

\ud83e\udd16 LLM Application Patterns workflow skill. Use this skill when the user needs Production-ready patterns for building LLM applications, inspired by Dify and industry best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-app-patterns-v3

diegosouzapw/awesome-omni-skills

\ud83e\udd16 LLM Application Patterns workflow skill. Use this skill when the user needs Production-ready patterns for building LLM applications, inspired by Dify and industry best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev

MoizIbnYousaf/Ai-Agent-Skills

Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

llm-application-dev-ai-assistant

benjaminasterA/antigravity-awesome-skills

You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur

llm-application-dev-ai-assistant-v2

diegosouzapw/awesome-omni-skills

AI Assistant Development workflow skill. Use this skill when the user needs You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-langchain-agent

benjaminasterA/antigravity-awesome-skills

You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.

llm-application-dev-langchain-agent-v2

diegosouzapw/awesome-omni-skills

LangChain/LangGraph Agent Development Expert workflow skill. Use this skill when the user needs You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-application-dev-prompt-optimize

benjaminasterA/antigravity-awesome-skills

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

llm-application-dev-prompt-optimize-v2

diegosouzapw/awesome-omni-skills

Prompt Optimization workflow skill. Use this skill when the user needs You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-artifacts-detection

existential-birds/beagle

Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.

llm-as-computer

oaustegard/claude-skills

Execute programs on a compiled transformer stack machine where every instruction fetch and memory read is a parabolic attention head. Demonstrates that transformer attention + FF layers can implement a working computer. Use when user mentions "llm-as-computer", "lac", "stack machine", "compiled transformer", "percepta", "parabolic attention", "execute program", or asks to run/trace programs on the transformer executor.

llm-benchmark

KerberosClaw/kc_ai_skills

Use when the user wants to test, compare, or choose local Ollama models for their machine. Checks Ollama/GPU state, recommends model sizes from available VRAM, preserves existing benchmark records, pulls only approved models, runs repeatable benchmarks, restores stopped services, and writes a markdown comparison report. NOT for hosted API model evaluation or subjective chat-quality judging without local benchmark commands.

llm-cost-optimizer

alirezarezvani/claude-skills

Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or choosing between models, cost architecture belongs in the conversation. Apply immediately when any of these are true: a system prompt appears that exceeds a few hundred tokens, all requests are hitting the same model, max_tokens is not set, or no per-feature cost logging exists. NOT for RAG pipeline design (use rag-architect). NOT for improving prompt quality or effectiveness (use senior-prompt-engineer).

llm-council

rohitg00/pro-workflow

Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.

llm-data-automation

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.

llm-document-extraction

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.

llm-evaluation

benjaminasterA/antigravity-awesome-skills

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or ...

llm-evaluation

wshobson/agents

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

llm-evaluation-v2

diegosouzapw/awesome-omni-skills

LLM Evaluation workflow skill. Use this skill when the user needs Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-friendly-context

shinpr/ai-coding-project-boilerplate

Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.

llm-gate

rohitg00/pro-workflow

LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.

llm-icon-finder

daymade/claude-code-skills

Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.

llm-integration

yonatangross/orchestkit

LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.

llm-judge

existential-birds/beagle

Use when comparing two or more code implementations against a spec or requirements doc. Triggers on \"which repo is better\", \"compare these implementations\", \"evaluate both solutions\", \"rank these codebases\", or \"judge which approach wins\". Also covers choosing between competing PRs or vendor submissions solving the same problem. Does NOT review a single codebase for quality \u2014 use code review skills instead. Does NOT evaluate strategy docs \u2014 use strategy-review. Requires a spec file and 2+ repo paths.

llm-models

inferen-sh/superpowers

Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative

llm-ops

diegosouzapw/awesome-omni-skills

LLM-OPS -- IA de Producao workflow skill. Use this skill when the user needs LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-ops-v2

diegosouzapw/awesome-omni-skills

LLM-OPS -- IA de Producao workflow skill. Use this skill when the user needs LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-optimized-content

guia-matthieu/clawfu-skills

Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini). Use when SEO alone isn't enough, when you need AI citations, or when optimizing for the "zero-click" future.

llm-patterns

alinaqi/maggy

AI-first application patterns, LLM testing, prompt management

llm-prompt-optimizer

diegosouzapw/awesome-omni-skills

LLM Prompt Optimizer workflow skill. Use this skill when the user needs improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-prompt-optimizer-v2

diegosouzapw/awesome-omni-skills

LLM Prompt Optimizer workflow skill. Use this skill when the user needs improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-runtime-architecture

agentlas-ai/Agentlas-OS

Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.

llm-seo-readiness

aptos-labs/aptos-docs

>-

llm-structured-output

diegosouzapw/awesome-omni-skills

LLM Structured Output workflow skill. Use this skill when the user needs > and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-structured-output-v2

diegosouzapw/awesome-omni-skills

LLM Structured Output workflow skill. Use this skill when the user needs > and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

llm-trading-agent-security

affaan-m/ECC

Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.

llm-wiki

NousResearch/hermes-agent

Karpathy's LLM Wiki: build/query interlinked markdown KB.

llm-wiki-lint

KerberosClaw/kc_ai_skills

Use when the user wants to lint a repo following the Karpathy LLM Wiki pattern (raw/ + wiki/ + SCHEMA.md / index.md / log.md). The skill detects path, scans wiki pages + schema layer, reports frontmatter gaps, broken in-body links, source traceability breaks, stale claims, orphan pages, index synopsis contradictions, and SCHEMA-vs-reality drift. Phase 1 is read-only report; Phase 2 (fix + log.md LINT entry) only runs after the user explicitly approves.

llm-wiki-setup

daymade/claude-code-skills

Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.

llms-txt

thatrebeccarae/claude-marketing

Generate and maintain llms.txt files for AI discoverability. Scans repos to create curated content maps that help AI answer engines surface your project accurately. Implements the llms.txt specification from Answer.AI.

llms-txt-generator

Varnan-Tech/opendirectory

Generates and maintains a standards-compliant llms.txt file for any website — either by crawling the live site OR by reading the website's codebase directly. Use this skill when asked to create an llms.txt, add AI discoverability to a site, improve GEO (Generative Engine Optimization), make a website readable by AI agents, generate an llms-full.txt, check if a site has llms.txt, or audit a site's AI readiness for generative search. Trigger this skill any time a user mentions llms.txt, AI discoverability, LLM site readability, or wants their site to appear in AI-generated answers. Also trigger when the user is inside a website codebase and asks about SEO, AI readiness, or content structure.

lm-evaluation-harness

mkurman/zorai

LLM evaluation framework (EleutherAI lm-evaluation-harness). Unified benchmark evaluation for language models with 200+ tasks, support for HuggingFace transformers, vLLM, SGLang, OpenAI API, GGUF, and custom models. Used by HuggingFace Open LLM Leaderboard. Covers MMLU, HellaSwag, ARC, GSM8K, HumanEval, BBH, TruthfulQA, and more.

lm-studio-subagents

TerminalSkills/skills

>-

lmnt-automation

ComposioHQ/awesome-claude-skills

"Automate Lmnt tasks via Rube MCP (Composio). Always search tools first for current schemas."

ln-11-plan-reviewer

levnikolaevich/claude-code-skills

Reviews implementation plans against repository evidence and current authoritative guidance. Use before execution to expose gaps and risks; not for completed delivery review.

ln-12-delivery-reviewer

levnikolaevich/claude-code-skills

Reviews a completed scoped change and its affected runtime and contract paths. Use to find change-caused defects and verify readiness; not for codebase audit, implementation, or repair.

ln-21-documentation-auditor

levnikolaevich/claude-code-skills

Audits documentation and code comments for structure, coverage, factual accuracy, and maintainability. Use for documentation trust reviews; not code, test, or architecture audits.

ln-22-codebase-auditor

levnikolaevich/claude-code-skills

Audits cross-cutting code health across security, delivery, maintainability, dependencies, diagnosability, concurrency, and lifecycle. Use when no specialist audit is primary.

ln-23-test-suite-auditor

levnikolaevich/claude-code-skills

Audits whether an existing test suite proves important product behavior with strong, isolated tests. Use when test confidence is uncertain; not to design or implement new tests.

ln-24-architecture-auditor

levnikolaevich/claude-code-skills

Audits implemented architecture fitness, boundaries, contracts, dependency topology, structure, and configuration ownership. Use for system structure; not implementation-plan review.

ln-25-persistence-auditor

levnikolaevich/claude-code-skills

Audits queries, transactions, data-path performance, and persistence resource lifecycle. Use when data correctness or scalability is at risk; not for general performance tuning.

ln-31-performance-optimizer

levnikolaevich/claude-code-skills

Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison.

ln-32-dependency-upgrader

levnikolaevich/claude-code-skills

Upgrades dependencies across package managers with breaking-change research and rollback-safe verification. Use for dependency maintenance; not general code modernization.

ln-33-code-modernizer

levnikolaevich/claude-code-skills

Modernizes a bounded capability by removing obsolete custom mechanisms or reducing bundle and maintenance cost. Use for proven modernization value; not routine upgrades or tuning.

ln-34-benchmark-comparator

levnikolaevich/claude-code-skills

Compares tools or implementations through reproducible A/B workloads, correctness oracles, and controlled measurements. Use to choose alternatives; not to optimize a known bottleneck.

ln-41-test-strategy-planner

levnikolaevich/claude-code-skills

Designs a risk-based test strategy and prioritized scenarios without changing code. Use when requirements need a test plan; not for auditing or implementing tests.

ln-42-acceptance-test-builder

levnikolaevich/claude-code-skills

Creates and runs reproducible acceptance tests for stated requirements using project-native tooling. Use when executable acceptance evidence is needed; not for audits or product fixes.

ln-51-opportunity-evaluator

levnikolaevich/claude-code-skills

Evaluates new product directions using current demand, acquisition, competition, economics, and validation evidence. Use before commitment; not for backlog or implementation planning.

ln-61-skill-reviewer

levnikolaevich/claude-code-skills

Reviews standalone skills and their configured distribution surfaces before publication. Use for skill release readiness; not for product code or implementation-plan review.

ln-62-repository-publisher

levnikolaevich/claude-code-skills

Validates, commits, pushes, and remotely verifies approved repository changes. Use when publication is requested; not for releases, package publishing, or announcements.

ln-63-release-publisher

levnikolaevich/claude-code-skills

Prepares and publishes a tagged GitHub release from repository evidence. Use for an explicit release request; not for ordinary commits, packages, or community news.

ln-64-community-announcer

levnikolaevich/claude-code-skills

Drafts and publishes fact-checked GitHub Discussions announcements. Use for releases, updates, or project news; not for release creation or issue responses.

load-balancer

TerminalSkills/skills

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load-bearing-identification

yogsoth-ai/de-anthropocentric-research-engine

Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion.

load-mr-context

TheBushidoCollective/han

Load MR context for the current branch using GitLab MCP tools

load-pr-context

TheBushidoCollective/han

Load PR context for the current branch using GitHub MCP tools

load-skill

openakita/openakita

Load a newly created skill from skills/ directory to make it immediately available

load-testing-plan

mohitagw15856/pm-claude-skills

Write a load and performance testing plan for a service. Use when asked to create a performance test plan, write load testing documentation, define stress or soak test scenarios, or set performance regression gates for CI. Produces a complete test plan document with scenario definitions, k6/Locust script skeleton, threshold table, result interpretation guide, and CI integration steps.

local-action-verification

google-labs-code/jules-skills

Set up a repository for local GitHub Actions verification using act, so Jules can validate CI before pushing

local-ai-agents

microsoft/ai-agents-for-beginners

>-

local-dev-setup

mohitagw15856/pm-claude-skills

Write a local development environment setup guide for a service or project — covering prerequisites, repository setup, environment variables, local service dependencies, database seeding, running the service, running tests, common gotchas, IDE recommendations, and first-contribution checklist. Use when asked to write a dev setup guide, create onboarding documentation for engineers, document local environment setup, or write a getting-started guide for a codebase. Produces a complete setup guide that a new engineer can follow from zero to running tests in under 30 minutes, with a troubleshooting section for the most common setup failures.

local-explorer

cloudflare/workers-sdk

How to add products/resources to the local explorer or local API. Use when implementing new local APIs, or UI routes under packages/miniflare/src/workers/local-explorer or packages/local-explorer-ui.

local-gmb-visibility

seranking/seo-skills

>

local-legal-seo-audit

diegosouzapw/awesome-omni-skills

Local Legal SEO Audit workflow skill. Use this skill when the user needs Audit and improve local SEO for law firms, attorneys, forensic experts and legal/professional services sites with local presence, focusing on GBP, directories, E-E-A-T and practice/location pages and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

local-legal-seo-audit-v2

diegosouzapw/awesome-omni-skills

Local Legal SEO Audit workflow skill. Use this skill when the user needs Audit and improve local SEO for law firms, attorneys, forensic experts and legal/professional services sites with local presence, focusing on GBP, directories, E-E-A-T and practice/location pages and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

local-llm-expert

diegosouzapw/awesome-omni-skills

local-llm-expert workflow skill. Use this skill when the user needs Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

local-llm-expert-v2

diegosouzapw/awesome-omni-skills

local-llm-expert workflow skill. Use this skill when the user needs Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

local-llm-free

artokun/comfyui-mcp

Run the ComfyUI agent locally for FREE — no subscription, no API key, fully offline — using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Use when the user asks about running locally, running for free, offline use, avoiding API costs, Ollama setup, or which local model to pick.

local-llm-ops

bobmatnyc/claude-mpm-skills

Local LLM operations with Ollama on Apple Silicon, including setup, model pulls, chat launchers, benchmarks, and diagnostics.

local-package

ClipboardHealth/core-utils

Use Clipboard's internal CLI to link and unlink @clipboard-health packages across repositories for local development. Use when testing local package changes, linking @clipboard-health packages between repos, or using the cbh CLI local-package command.

local-places

ComposioHQ/openclaw-composio

Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.

local-publish-sts

microsoft/sqltoolsservice

Build SQL Tools Service (STS) and run the Cake LocalPublish target so the resulting binaries are available under artifacts/publish for local testing. Use when: building STS locally, running LocalPublish, rebuilding STS after code changes, preparing STS for use by another extension/client, "publish STS", "local publish", "build SQL Tools Service", "rebuild STS". This skill only builds; if the goal is to also point vscode-mssql at the output, follow up with the `hook-local-sts-into-mssql` skill.

local-resources

wgpsec/AboutSecurity

本地资源库导航——字典库(Dic)、Payload库、POC库的结构和使用方法。当需要使用 ffuf/spray 目录爆破、密码爆破、或构造 Fuzz payload 时必读。覆盖字典选择策略、payload 模板调用、POC 库搜索方法。字典库统一安装在 /pentest 目录下