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data ai productivity tools AI 技能

发现 data ai productivity tools 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: data ai productivity tools

显示第 6,817–6,840 个,共 17,151 个

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GitHub

prompt-builder

adaptationio

Build effective prompts for Claude Code skills. Creates clear, specific, actionable prompts using engineering principles, templates, and validation. Use when creating skill instructions, workflow steps, task op...

GitHub

ralph-prompt-research

adaptationio

Generate Ralph-compatible prompts for research, analysis, and planning tasks. Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications. Use when analyzing codebase...

GitHub

railway-api

adaptationio

Railway.com GraphQL API automation for projects, services, deployments, and environment variables. Use when automating Railway operations, querying project data, managing deployments, setting variables via API,...

GitHub

autonomous-master

adaptationio

Master orchestrator for autonomous coding projects. Use when starting autonomous projects, continuing sessions, checking status, or running complete autonomous workflows.

GitHub

terra-webhooks

adaptationio

Terra API webhook handling for real-time health data. Use when setting up webhook endpoints, verifying signatures, handling events, or debugging webhook issues.

GitHub

observability-pattern-detector

adaptationio

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

GitHub

claude-context-management

adaptationio

Comprehensive context management strategies for cost optimization and infinite-length conversations. Covers server-side clearing (tool results, thinking blocks), client-side SDK compaction (automatic summarizat...

GitHub

enhanced-telemetry

adaptationio

Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OT...

GitHub

autonomous-cost-optimizer

adaptationio

Token and cost optimization for autonomous coding. Use when tracking token usage, optimizing API costs, managing budgets, or improving efficiency.

GitHub

anthropic-docs-updater

adaptationio

Automated documentation update mechanism for anthropic-expert skill. Five-step workflow from update detection through documentation fetching and processing to skill integration and validation. Use when updating...

GitHub

supabase-realtime

adaptationio

Supabase Realtime for live subscriptions, broadcasts, and presence. Use when implementing real-time features, live updates, chat, or online presence tracking.

GitHub

claude-cost-optimization

adaptationio

Comprehensive cost tracking and optimization for production Claude deployments. Covers Admin API usage tracking, efficiency measurement, ROI calculation, optimization patterns (caching, batching, model selectio...

GitHub

end-to-end-orchestrator

adaptationio

Complete development workflow orchestrator coordinating all multi-ai skills (research → planning → implementation → testing → verification) with quality gates, failure recovery, and state management. Single-com...

GitHub

auto-updater

adaptationio

Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe a...

GitHub

autonomous-opus-loop

adaptationio

Autonomous Claude Code operation using Opus 4.5 for intelligent continuation decisions. Use when running long tasks, multi-step implementations, overnight development, or any workflow requiring continuous auton...

GitHub

ac-insight-extractor

adaptationio

Extract insights from autonomous coding sessions. Use when learning from completions, extracting patterns, analyzing decisions, or improving future performance.

GitHub

task-development

adaptationio

Break down skill development into concrete tasks with time estimates, dependencies, and validation criteria. Creates actionable task lists, identifies blockers, estimates effort, and sequences work optimally. U...

GitHub

best-practices-learner

adaptationio

Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge...

GitHub

auto-claude-cli

adaptationio

Auto-Claude CLI command reference and usage patterns. Use when running specs, managing builds, checking status, or using CLI commands for autonomous coding tasks.

GitHub

compound-docs

Bind

Capture solved problems as searchable documentation with pattern detection. This skill auto-triggers when users confirm a fix worked ("that worked", "it's fixed", "working now") or manually via /compound comman...

GitHub

agents-md-generator

buYoung

Analyze repository structure and generate standardized AGENTS.md files that serve as contributor guides for AI agents. Measures LOC to determine character limits and produces 5-section documents covering overvi...

GitHub

skill-maker

buYoung

Create new AI agent skills following the SKILL.md guidelines. Generates complete skill structure including SKILL.md with YAML frontmatter, optional bundled resources (scripts/, references/, assets/), and update...

GitHub

pr-workflow

constellos

Use this skill when the user wants to "create PR", "update PR", "merge PR", "PR template", "auto-fill PR", "request review", or manage pull request lifecycle. Generates PR descriptions from commits/issues with...

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。

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