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All Skills

Total 55,561 skills, AI & Machine Learning has 9241 skills

Categories

Showing 12 of 9241 skills

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AI & Machine Learningkangarooking/kangarooking...

task-harness

Decompose requirements into structured task lists and build a task management system for long-running Agents (based on the Anthropic Effective harnesses methodology). Automatically trigger when users need to manage multi-session development tasks, track feature completion progress, or request "task decomposition", "task management", or "project planning".

🇨🇳|ChineseTranslated
11
1 scripts/Attention
AI & Machine Learningalpoxdev/hypercore

research

[Hyper] Produce a multi-source, source-backed markdown research report for fact-finding, comparisons, market/trend analysis, or evidence-backed recommendations across live web, official docs, GitHub, and local repo sources. Use when synthesis and citations are needed, not for one-source lookups.

🇺🇸|EnglishTranslated
11
AI & Machine Learningruvnet/ruflo

trader-portfolio

Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan

🇺🇸|EnglishTranslated
11
AI & Machine Learningruvnet/ruflo

cost-optimize

Analyze token usage patterns and recommend cost optimizations with estimated savings

🇺🇸|EnglishTranslated
11
AI & Machine Learningdavidbasilefilho/skills

ulw

Load this skill when the user mentions `ulw` or `ultrawork`.

🇺🇸|EnglishTranslated
11
AI & Machine Learningmembranedev/application-s...

inworld-ai

Inworld AI integration. Manage data, records, and automate workflows. Use when the user wants to interact with Inworld AI data.

🇺🇸|EnglishTranslated
11
AI & Machine Learningalirezarezvani/claude-ski...

executive-mentor

Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for brutal board meetings, dissects decisions with no good options, and forces honest post-mortems. Use when you need someone to find the holes before the board does, make a decision you've been avoiding, or understand what actually went wrong.

🇺🇸|EnglishTranslated
11
2 scripts/Checked
AI & Machine Learningalirezarezvani/claude-ski...

chief-of-staff

C-suite orchestration layer. Routes founder questions to the right advisor role(s), triggers multi-role board meetings for complex decisions, synthesizes outputs, and tracks decisions. Every C-suite interaction starts here. Loads company context automatically.

🇺🇸|EnglishTranslated
11
AI & Machine Learningdebian777/kairos-mcp

kairos

KAIROS action engine — ZERO DRIFT ENFORCEMENT EDITION. Mandatory routing layer for ANY action, task, workflow or procedure. AI agents MUST NOT ignore, bypass, partially execute or deviate from KAIROS MCP. Trigger on ANY action intent: write, draft, compose, create, build, implement, code, fix, debug, resolve, deploy, publish, migrate, configure, set up, install, upgrade, update, edit, rewrite, refactor, improve, review, audit, check, validate, test, standardize, automate, generate, report, plan, design, document, file, submit, open, close, merge, push, commit, sync, clone, export, import, send, notify, schedule, assign, prioritize, triage, do, perform, execute, handle, run, process, complete, finish, start — or when user describes any procedure or asks “how to” perform an operation. If no protocol exists, KAIROS offers to create one. Zero drift: detect → activate → follow next_action exactly → reward → respond. No other path allowed.

🇺🇸|EnglishTranslated
11
AI & Machine Learningathola/claude-night-marke...

agent-expenditure

Track per-agent token usage and flag waste in parallel dispatch. Use after running parallel agents to evaluate cost vs value.

🇺🇸|EnglishTranslated
11
AI & Machine Learningchanakya-net/ai-skills

run-with-it

Route issue-running automation through a deterministic control plane that selects agent + model from registry, can coordinate multiple safe parallel agents, and executes the unified run-agent runner.

🇺🇸|EnglishTranslated
11
AI & Machine Learningaws/agent-toolkit-for-aws

agents-harden

Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: "production checklist", "harden agent", "production ready", "secure agent", "inbound auth", "going live", "cold start optimization", "session lifecycle", "StopRuntimeSession", "quota", "throttling", "maxVms", "rate limit", "security audit of outbound API calls", "gateway target audit for production", "restrict who can call", "lock down endpoint", "only our app can call". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.

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