Skill4Agent
Skill4Agent
All SkillsSearchTools
|
Explore
Skill4Agent
Skill4Agent

AI Agent Skills Directory with categorization, English/Chinese translation, and script security checks.

Sitemap

  • Home
  • All Skills
  • Search
  • Tools

About

  • About Us
  • Disclaimer
  • Copyright

Help

  • FAQ
  • Privacy
  • Terms
Contact Us:osulivan147@qq.com

© 2026 Skill4Agent. All rights reserved.

All Skills

Total 54,043 skills, AI & Machine Learning has 8989 skills

Categories

Showing 12 of 8989 skills

Per page
Downloads
Sort
AI & Machine Learningdatadog-labs/agent-skills

agent-observability-replay-trace

Use when a developer wants to iterate on ONE specific Agent Observability / LLM Obs trace whose output they didn't like — re-running that trace against their LOCAL code, seeing a concise diff of the old vs new output, and looping (change code → replay → diff) until satisfied. Invoked as /agent-observability-replay-trace <trace-id> [changes to test]. Signals: "replay this trace"; "iterate on a trace"; "this trace's output is wrong, fix it and re-run"; "re-run trace <id> with <change>"; pasting a trace id from the Agent Observability UI with a description of what to fix. It fetches the trace via the datadog-llmo MCP or the pup CLI, edits code, re-runs the app to emit a NEW trace, and diffs the two — no local server, no browser. For agents traced with ddtrace / LLM Obs (Python first-class), with JSON-serializable entry input. Do NOT use for: scored Experiments or the browser "Replay" button (that's agent-observability-replay-experiment), building an experiment from a dataset/CSV, writing evaluators, root-causing failed traces, or RUM/HTTP session replay.

🇺🇸|EnglishTranslated
2
1 scripts/Checked
AI & Machine Learningnextstage-brasil/skills

ns-execution-orchestrator

(NS) Orchestrate partitioned version implementation slice-by-slice — one subagent per slice, commit, auto-advance until done or stop. Use when version-roadmap.md has pending slices and the user asks to orchestrate/execute all slices. Do NOT use for non-partitioned versions, ad-hoc coding (ns-code-coder), or partitioning itself (ns-sdd-version-partitioner).

🇺🇸|EnglishTranslated
2
AI & Machine Learningnextstage-brasil/skills

ns-harness-architecture-rules

(NS) Generate or refresh lean architecture-rules.md for AI agents — stack, layout, patterns, constraints. Use when the user asks for architecture rules, .nextstage-harness/rules/architecture-rules.md, agent conventions, or "document how this repo works for the AI". Do NOT use for business specs (ns-harness-codebase-reverse-spec), brownfield maps (ns-harness-bootstrap-brownfield), or one-off Cursor rules without a full architecture pass.

🇺🇸|EnglishTranslated
2
AI & Machine Learningtjboudreaux/cc-thinking-s...

thinking-model-router

When unsure which thinking skill fits, map domain and problem type, then return NONE or one primary skill by default (at most three complementary).

🇺🇸|EnglishTranslated
2
AI & Machine Learningharperfast/skills

harper-mcp

Comprehensive guide to Harper's Model Context Protocol (MCP) interface, covering server setup, client connection, automatic and custom tools, prompts, resources, rate limiting, durable quotas, and the security model. Triggers on tasks involving MCP servers on Harper, AI-client integration, and exposing Harper data or behavior to LLM agents.

🇺🇸|EnglishTranslated
2
AI & Machine Learningharbor-framework/skills

harbor-cli

Harbor CLI command reference and usage patterns. Covers harbor run, harbor jobs, harbor trials, harbor datasets, harbor adapters, harbor tasks, harbor view, harbor sweeps, harbor traces, harbor cache, and harbor admin commands. Use this skill whenever running Harbor evaluations, managing datasets, viewing results, debugging tasks, exporting traces, or working with any harbor CLI command. Also use when constructing harbor command lines, looking up flag names, or troubleshooting CLI errors.

🇺🇸|EnglishTranslated
2
AI & Machine Learningnanmicoder/dsh-agent-team...

dsh-plugin-development

An executable Skill for developing, maintaining, distributing, and validating DeepSeek Harness (DSH) plugins. Covers host/client form judgment, bundle/profile contracts, Service and function plugins, tools, HTTP, persistence, slots, Conversation Nodes, client-side building, HMR, GitHub installation, and real combination verification.

🇨🇳|ChineseTranslated
2
AI & Machine Learningjiahuiqu17/paper-signal

paper-signal

Plan, art-direct, generate, edit, and quality-check tactile minimal-zine bitmap imagery from almost any subject: landscapes, portraits, objects, products, architecture, interiors, existing photographs, moods, article ideas, cultural essays, data, reviews, and social-media card series. Use for 小红书图片, Instagram carousels, poetic posters, editorial covers, photo restyling, visual essays, evidence-aware explainers, or any request for aged paper, photocopy, risograph, letterpress, sparse type, and restrained single-ink character. Routes the subject before choosing composition, preserves identity and factual content when editing, saves reproducible prompts, invokes the runtime-native image generator, and audits the real raster output. Do not use for glossy commercial ads, deterministic UI/vector assets, or exact diagram rendering.

🇺🇸|EnglishTranslated
2
2 scripts/Attention
AI & Machine Learningjiahuiqu17/paper-signal

paper-signal-art-director

Art-direct and generate one high-craft minimal-zine bitmap from a landscape, portrait, person, object, product, food, plant, building, interior, photograph, mood, sentence, or article concept. Use when the user wants a standalone poetic poster, editorial cover, visual concept, aesthetic photo upgrade, photo-to-zine restyle, or a subject-aware minimal-zine image without the overhead of a social carousel. Chooses adaptive composition and a physically coherent print process, preserves subject identity, saves the final prompt, invokes the runtime-native image generator, and audits the raster result.

🇺🇸|EnglishTranslated
2
AI & Machine Learningthinkingaiagenticengine/a...

ae-system

AE Agent system administration CLI for root and agent administrators. Use when the user asks to manage Agent members, sandboxes and shared tools, company model visibility/defaults/pricing, usage statistics and exports, cost quotas, balance alerts, or IM channels. Must use ae-cli system commands, discover real IDs before writes, and never attempt to bypass a permission denial.

🇺🇸|EnglishTranslated
2
AI & Machine Learningdevcxl/mattpocock-skills-...

grilling

Grill the user's plans, decisions, or ideas layer by layer. Use this when the user wants to stress-test their thinking or uses any 'grill' trigger phrase.

🇨🇳|ChineseTranslated
2
AI & Machine Learningdevcxl/mattpocock-skills-...

writing-for-agents

Write documents for agents.

🇨🇳|ChineseTranslated
2
1...745746747748749750
Page