Browse Skills — Page 117
21,758 public skills · showing 11,601–11,700
- 100/100
list-scheduled-tasks
openakita/openakita
List all scheduled tasks with their ID, name, type, status, and next execution time. When you need to check existing tasks, find task ID for cancel/update, or verify task creation.
- 100/100
list-segmentation
extruct-ai/gtm-skills
>
- 100/100
list-skills
openakita/openakita
List all installed skills following Agent Skills specification. When you need to check available skills, find skill for a task, or verify skill installation.
- 100/100
list-subs
ComposioHQ/awesome-claude-plugins
List all active skill-bus subscriptions across global and project scopes, showing merge status, insert-level and subscription-level conditions, effective condition stacking, and what would fire for each skill.
- 100/100
list-ub
yogsoth-ai/de-anthropocentric-research-engine
- 100/100
listclean-automation
ComposioHQ/awesome-claude-skills
"Automate Listclean tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
listener-creator
anthropics/claude-agent-sdk-demos
Creates event-driven email listeners that monitor for specific conditions (like urgent emails from boss, newsletters to archive, package tracking) and execute custom actions. Use when user wants to be notified about emails, automatically handle certain emails, or set up email automation workflows.
- 100/100
listennotes-automation
ComposioHQ/awesome-claude-skills
"Automate Listennotes tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
lit-review
GRIND-Lab-Core/night_owl_research_agent
Retrieves papers from local folder or ArXiv and Semantic Scholar using domain-aware keyword expansion, builds synthesis matrix, identifies gaps. Calls tools/arxiv_fetch.py and tools/semantic_scholar_fetch.py. Writes to output/paper-cache/ and output/LIT_REVIEW_REPORT.md.
- 100/100
lit-synthesizer
aAAaqwq/AGI-Super-Team
Search PubMed and bioRxiv, summarise papers with LLM, build citation graphs, and generate literature review sections.
- 100/100
litbase
aipoch/medical-research-skills
Academic paper reading and research development system for biomedical researchers. Finds papers via Semantic Scholar, reads with structured notes, tracks discussion insights, and synthesizes literature into a Research Foundation Document (RFD) for downstream protocol design skills. 8 commands: /setup /feed /read /discuss /recap /update /sync /propose
- 100/100
litcoin-miner
BankrBot/skills
Mine LITCOIN — a proof-of-comprehension and proof-of-research cryptocurrency on Base. Use when the user wants to mine crypto with AI, earn tokens through reading comprehension or solving optimization problems, stake LITCOIN, open vaults, mint LITCREDIT, manage mining guilds, deploy autonomous agents, or interact with the LITCOIN DeFi protocol.
- 95/100
litellm
TerminalSkills/skills
>-
- 100/100
liteparse
run-llama/benchmark-claude-pdfs
Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally without cloud dependencies.
- 100/100
liteparse-targeted
run-llama/benchmark-claude-pdfs
Use this skill whenever a task involves a document file (PDF, DOCX, PPTX, XLSX, or image) and you need to read it or get text, tables, or specific values out of it — including to answer a question about its contents, look up a figure, extract data, or convert it to text/JSON. Provides fast, local, model-free extraction with no cloud or API key. Reach for this instead of ad-hoc pdftotext/pypdf/textract whenever a question or task references a document file.
- 100/100
literatur-und-quellen
Klotzkette/claude-fuer-deutsches-recht
Pflicht-Literatur und offene Aktualisierungsliste für KI-Nutzungsrichtlinien in Kanzleien: BRAK-Hinweise 12/2024, DAV-Stellungnahme 32/2025, Braegelmann KIR 2024, Braegelmann Kammerton RAK Berlin 07/08-2025, EU-FAQ KI-Kompetenz sowie BNetzA-Hinweise.
- 100/100
Literature Overview
yogsoth-ai/de-anthropocentric-research-engine
Quick landscape scan — discover papers on a topic without full-text reading
- 100/100
Literature Research
yogsoth-ai/de-anthropocentric-research-engine
Deep literature research — raw full text reading and targeted PDF queries for rigorous analysis
- 100/100
Literature Search
yogsoth-ai/de-anthropocentric-research-engine
Medium-depth literature search — read AI-summarized reports for every paper analyzed
- 100/100
literature-close-read
aipoch/medical-research-skills
Produce a structured close-reading report from a paper's full PDF-to-Markdown text (with `## Page XX` pagination and image references) when you need to systematically extract background, research questions, methods, results, limitations, and reproducible experimental details.
- 100/100
literature-experiment-extract
aipoch/medical-research-skills
Extract experimental models, experimental methods, and biomarker information from paper Markdown (typically produced by PDF-to-Markdown tools) when a user provides paper Markdown and needs a structured, evidence-backed summary (1 Markdown + 3 CSVs).
- 100/100
literature-extensive-read
aipoch/medical-research-skills
Rapidly skim and summarize academic papers (default:PDF-to-Markdown full text with `## Page XX` pagination and image references) and output a structured extensive-reading summary in Markdown when you need to quickly understand research questions, methods, key results, conclusions, and decide whether intensive reading is worthwhile.
- 100/100
literature-filtering
aipoch/medical-research-skills
Filter literature by publication year, journal, and predefined screening rules to produce inclusion/exclusion lists; use when conducting preliminary screening or systematic review screening to narrow the literature scope.
- 100/100
literature-management
aipoch/medical-research-skills
Import local literature into a managed library; trigger when you need offline deduplication, tagging, and a searchable index.
- 100/100
literature-review
affaan-m/ECC
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
- 100/100
literature-statistics
aipoch/medical-research-skills
Generate statistics for publication-year and journal distributions from local references or PDFs; use when you need standardized Year/Journal tables and a summary without any network access.
- 100/100
literature-survey
yogsoth-ai/de-anthropocentric-research-engine
Autonomous Literature Survey Campaign — 5 research paradigms (scoping, systematic, deep, narrative, snowball) with quantitative budget enforcement. Selects and executes the right survey paradigm based on research intent.
- 100/100
literatureimages-interpretation
aipoch/medical-research-skills
Interpret figures in academic papers and their captions when the input is a PDF-to-Markdown document with page markers and image links, producing a structured Markdown report for extracting variables, trends, and conclusions.
- 100/100
litigation-analysis
cat-xierluo/legal-skills
诉讼分析工具 - 判决书深度分析,生成上诉/再审决策支持
- 100/100
litreview
alirezarezvani/claude-skills
Academic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain Consensus search.
- 100/100
Live Region Controller
Community-Access/accessibility-agents
Live region and dynamic content announcement specialist. Use when building or reviewing any feature that updates content without a full page reload including search results, filters, notifications, toasts, loading states, AJAX responses, form submission feedback, counters, timers, chat messages, progress indicators, or any content that changes after initial page load. Applies to any web framework or vanilla HTML/CSS/JS.
- 100/100
live-dashboard
indranilbanerjee/digital-marketing-pro
Create live Looker Studio dashboards. Use when: connecting marketing data sources with auto-configured visualizations.
- 100/100
live-preview
SethGammon/Citadel
>-
- 100/100
liveblocks
TerminalSkills/skills
Expert guidance for Liveblocks, the platform for adding real-time collaboration features to web applications. Helps developers implement live cursors, presence indicators, collaborative editing, comments, and notifications using Liveblocks' React hooks and APIs.
- 90/100
livekit
TerminalSkills/skills
>-
- 100/100
livesession-automation
ComposioHQ/awesome-claude-skills
"Automate Livesession tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
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).
- 95/100
llama-cpp
NousResearch/hermes-agent
llama.cpp local GGUF inference + HF Hub model discovery.
- 100/100
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
- 100/100
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.
- 90/100
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.
- 95/100
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.
- 100/100
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.
- 100/100
llamaparse
run-llama/llamaparse-agent-skills
Use this skill when the user asks to parse the content of an unstructured file (PDF, PPTX, DOCX...)
- 100/100
llamaparse-mcp
run-llama/llamaparse-agent-plugins
Skill on how to use the LlamaParse MCP tools
- 100/100
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.
- 100/100
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。
- 100/100
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。
- 80/100
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.
- 100/100
llm-app-patterns
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.
- 100/100
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.
- 100/100
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.
- 100/100
llm-application-dev-ai-assistant
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.
- 100/100
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.
- 100/100
llm-application-dev-langchain-agent
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.
- 100/100
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.
- 100/100
llm-application-dev-prompt-optimize
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.
- 100/100
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.
- 100/100
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.
- 100/100
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).
- 100/100
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.
- 100/100
llm-evaluation
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
llm-patterns
alinaqi/maggy
AI-first application patterns, LLM testing, prompt management
- 100/100
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.
- 100/100
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.
- 100/100
llm-seo-readiness
aptos-labs/aptos-docs
>-
- 100/100
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.
- 100/100
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.
- 80/100
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.
- 100/100
llm-wiki
NousResearch/hermes-agent
Karpathy's LLM Wiki: build/query interlinked markdown KB.
- 100/100
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.
- 100/100
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.
- 70/100
lm-studio-subagents
TerminalSkills/skills
>-
- 100/100
lmnt-automation
ComposioHQ/awesome-claude-skills
"Automate Lmnt tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
load-balancer
TerminalSkills/skills
>-
- 100/100
load-bearing-identification
yogsoth-ai/de-anthropocentric-research-engine
Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion.
- 100/100
load-mr-context
TheBushidoCollective/han
Load MR context for the current branch using GitLab MCP tools
- 100/100
load-pr-context
TheBushidoCollective/han
Load PR context for the current branch using GitHub MCP tools
- 100/100
load-skill
openakita/openakita
Load a newly created skill from skills/ directory to make it immediately available
- 85/100
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.
- 100/100
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
- 65/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
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.
- 100/100
local-llm-tool
xuiltul/animaworks
>-
- 100/100
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.
- 80/100
local-places
ComposioHQ/openclaw-composio
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
- 100/100
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
- 100/100
local-seo
indranilbanerjee/digital-marketing-pro
Build local SEO strategy. Use when: optimizing Google Business Profile, fixing NAP consistency, improving local pack rankings.
- 100/100
local-seo-audit
indranilbanerjee/digital-marketing-pro
Audit local SEO health. Use when: reviewing GBP optimization, NAP consistency, local citations, or local pack rankings.
- 85/100
localai
TerminalSkills/skills
Expert guidance for LocalAI, the open-source drop-in replacement for OpenAI's API that runs locally. Helps developers self-host LLMs, image generators, audio transcription, and text-to-speech models with an OpenAI-compatible API — no GPU required, completely offline and private.
Page 117 of 218