搜索

PythonReactSEOPDF

数据与 AI AI 技能

发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 数据与 AI

显示第 69,553–69,576 个,共 83,104 个

数据与 AI 清除筛选

全部技能

GitHub

omo

cx994

OmO multi-agent orchestration skill. This skill should be used when the user invokes /omo or needs multi-agent coordination for complex tasks. Triggers on /omo command. Loads Sisyphus as the primary orchestrato...

GitHub

ha-codex-skills

cx994

Codex 执行者技能包。Claude 通过 codeagent-wrapper 派发任务时,根据任务类型路由到子技能。

GitHub

templates

cx994

文档模板集合;创建Wiki或方案包文件时读取;包含所有知识库模板和方案文件模板

GitHub

i18n-translator

jeongsk

Manage i18n translations for Note Sage plugin. Use when: (1) Adding new translation keys, (2) Updating existing translations, (3) Maintaining consistency across 11 languages (en, ko, ja, es, fr, de, pt, zh, ar,...

GitHub

cortex

devonjones

CLI for managing the Cortex email automation pipeline. Use this skill when the user wants to query emails, check queue status, trigger backfills, view classifications, or manage the email triage system. Trigger...

GitHub

kamal-deploy

jalen0x

Deploy Docker applications using Kamal 2 with zero-downtime and automatic SSL. Use this skill when (1) setting up new Kamal deployments, (2) generating deploy.yml configuration, (3) deploying apps that lack hea...

GitHub

trace-interpretation

murillodutt

This skill should be used when the user asks about "interpreting ctx-monitor traces", "understanding execution logs", "reading trace files", "what do ctx-monitor events mean", "debugging trace output", or needs...

GitHub

workflow-or-agent-decider

aufrank

Decide between a scripted workflow and an autonomous agent harness, then scaffold the chosen path. Use when scoping new agentic systems or tool integrations.

GitHub

querying-jira-programmatically

aufrank

Run Jira MCP searches (Rovo or JQL) via mcpc-backed Python wrappers with cached tool schemas and file-backed outputs. Use when Codex needs deterministic Jira queries using @jira and mcpc (no direct HTTP).

GitHub

using-mcp-tools-with-mcpc

aufrank

Use mcpc CLI to interact with MCP servers - call tools, read resources, get prompts. Use when working with Model Context Protocol servers, calling MCP tools, or accessing MCP resources programmatically; prefer...

GitHub

long-running-harness-kit

aufrank

Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.

GitHub

creating-mcp-code-mode-skills

aufrank

A meta-skill for authoring high-performance, verifiable, long-running MCP skills using Code Mode. This skill blends Anthropic and OpenAI skill-authoring guidance with Code-Mode-first, MCP-backed execution, dyna...

GitHub

parallelizing-with-worktrees

aufrank

Create and manage Git worktrees to parallelize agent tasks safely. Use when you need multiple concurrent checkouts (sub-agents, parallel edits, or isolated experiments) and want deterministic setup/cleanup with...

GitHub

skills-audit

aufrank

Audit skill folders for guideline compliance and portability. Use when validating SKILL.md files against skill_development_guidelines.md or checking for non-portable examples, hard-coded paths, or missing refer...

GitHub

querying-notion-programmatically

aufrank

Run Notion MCP searches for pages/blocks and fetch page comments via mcpc-backed Python wrappers. Use when Codex needs deterministic, file-backed Notion queries (filters come later).

GitHub

slicing-long-contexts

aufrank

Use when a prompt or corpus is long/dense (multi-docs, logs, codebases) and you want a reproducible map/reduce pipeline. Trigger this skill to slice inputs, run per-slice codex/gemini subcalls, and aggregate re...

GitHub

creating-skills

aufrank

General skill authoring and improvement. Use when creating or updating any skill (with or without MCP), selecting structure, generating scaffolds, or packaging resources (scripts/references/assets/templates) th...

GitHub

eval-harness-kit

aufrank

Build and run deterministic evaluation suites for agent workflows (single-turn or agentic). Use when you need reproducible eval runs with manifests, graders, metrics, and JSONL logs for capability or regression...

GitHub

inspecting-the-environment

aufrank

Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, an...

GitHub

pincer-planning

aufrank

Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

更多筛选

热度筛选

热门标签