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Found 2,408 Skills
MUST USE for any task involving the dotenvx CLI tool — encrypting .env files, running commands with injected env vars, managing secrets across environments, and decrypting at runtime. Use this skill whenever the user mentions dotenvx, dotenv encryption, DOTENV_PRIVATE_KEY, encrypted .env files, or the dotenvx encrypt/run/set/get/decrypt/keypair commands. Also trigger when the user wants to: commit .env files safely to git, stop sharing secrets over Slack/chat, encrypt environment variables with public-key cryptography, set up multi-environment .env configs (production/staging/ci), manage secrets in a monorepo with -fk flag, migrate from python-dotenv or plain dotenv to encrypted envs, inject env vars into any process across any language (Node, Python, Ruby, Go, Rust, etc.), or configure CI/CD pipelines (GitHub Actions, Docker) with encrypted env files. This skill contains the authoritative CLI reference — without it, responses will hallucinate non-existent commands and flags.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
Provides reverse engineering techniques for CTF challenges. Use when analyzing binaries, game clients, obfuscated code, esoteric languages, custom VMs, anti-debugging, anti-analysis bypass, WASM, .NET, APK (including Flutter/Dart AOT with Blutter), HarmonyOS HAP/ABC, Python bytecode, Go/Rust/Swift/Kotlin binaries, VMProtect/Themida, Ghidra, GDB, radare2, Frida, angr, Qiling, Triton, binary diffing, macOS/iOS Mach-O, embedded firmware, kernel modules, game engines, or extracting flags from compiled executables.
MUST be used whenever building a chat UI with Atlas agents in a Dune app. Do NOT manually write useAtlasChat integration code — this skill handles installation, component structure, and hook wiring. Triggers: useAtlasChat, atlas chat, streaming chat, agent chat, chat interface, chat component, chat UI. For a full chat app, run skills in order: (1) integrate-atlas-chat, (2) create-client-tool (per tool), (3) setup-python-tools (if Python tools needed).
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
Use when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Based on Huawei Cloud COC (Cloud Operations Center) APIs for script management and remote execution. Supports creating custom scripts (Shell, Python, Bat) and batch execution on target host instances via UniAgent. Applicable to cloud operations automation and batch script deployment scenarios. Trigger keywords: L-instance, COC script, script management, script execution, cloud operations, custom script, batch execution; COC, script management, script execution, cloud operations (中文触发词：L实例执行脚本).
Operational reference for BESSER code generators — covers per-generator options, generated file layout, regeneration/overwrite behavior, safe customization patterns, template overrides, and debugging generation failures. Use this skill whenever the user is configuring or running a BESSER generator (PythonGenerator, PydanticGenerator, SQLAlchemyGenerator, SQLGenerator, BackendGenerator, RESTAPIGenerator, DjangoGenerator, WebAppGenerator, ReactGenerator, BAFGenerator, QiskitGenerator, JSONSchemaGenerator, JSONObjectGenerator, RDFGenerator, SupabaseGenerator, TerraformGenerator, PytorchGenerator, TFGenerator, FlutterGenerator, JavaGenerator), wondering "where does the output go", "will my edits survive regeneration", "how do I add custom endpoints to a generated FastAPI app", or "how do I switch the database dialect". Trigger on questions about generator parameters (`http_methods`, `nested_creations`, `dbms`, `containerization`, `backend_type`, `shots`, `generation_mode`), generated file paths, template overrides, or how to extend generated code without losing edits across regeneration cycles. Prefer this skill over besser-user when the question is about a specific generator's behavior rather than how to build a model.
EdgeOne Makers platform development router — the single entry point for building, storing data, and deploying on Tencent EdgeOne Makers. Trigger whenever the user develops, scaffolds, or deploys anything on EdgeOne Makers / EdgeOne Pages: AI agents (DeepAgents, LangGraph, CrewAI, OpenAI/Claude SDK), Cloud Functions (Node/Go/Python), Edge Functions (V8), KV + Blob storage, middleware, CLI usage, project scaffolding, and — importantly — persisting dynamic site data (messages, uploads, votes, save-state) where there is NO managed database, so Blob is used as the backend. Also trigger on "deploy to EdgeOne", "上线", "发布", "部署到 EdgeOne". This SKILL is a routing table; read only the sub-skill relevant to the current task, never all of them at once.
Production-grade backend service development across Node.js (Express/Fastify/NestJS/Hono), Bun, Python (FastAPI), Go, and Rust (Axum), with PostgreSQL and common ORMs (Prisma/Drizzle/SQLAlchemy/GORM/SeaORM). Use for REST/GraphQL/tRPC APIs, auth (OIDC/OAuth), caching, background jobs, observability (OpenTelemetry), testing, deployment readiness, and zero-trust defaults.
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.