Automatització
Automatització de tasques i creació de scripts
ci-sentinel
yonatangross
"Daily autonomous classifier for failing PRs across your repos. Runs /ci-debug headless against every open PR with red required checks, posts the verdict as a collapsed PR comment, and appends to a per-repo .sentinel/ledger.jsonl. v1 is propose-don't-apply — NEVER auto-pushes a fix. Use when you're tired of /status sweeps catching the same 10 CI failure patterns over and over."
release-sync
yonatangross
"Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge."
task-dependency-patterns
yonatangross
Task Management patterns with TaskCreate, TaskUpdate, TaskGet, TaskList tools. Decompose complex work into trackable tasks with dependency chains. Use when managing multi-step implementations, coordinating parallel work, or tracking completion status.
implement
yonatangross
"Full-power feature implementation using parallel subagents for backend, frontend, testing, and security, with worktree isolation and quality verification in one workflow. Chains with /ork:cover for tests and /ork:verify for validation. Use when asked to build, add, create, scaffold, or set up a new feature, endpoint, component, or UI capability. Not for fixing a bug, reviewing, explaining, testing, or comparing existing code."
browser-tools
yonatangross
Security wrapper over the upstream agent-browser skill, adding URL blocklisting, rate limiting, robots.txt enforcement, and scraping guardrails. Use when automating browser workflows that need safety limits.
langgraph
yonatangross
LangGraph 1.x (LTS) Python workflow patterns for state management, delta channels, resilience (node timeouts, error handlers, graceful drain), routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop, streaming (v2 format), subgraphs, and functional API. Use when building LangGraph pipelines, multi-agent systems, or AI workflows.
chain-patterns
yonatangross
"Chain patterns for multi-phase pipelines: MCP detection, handoff files, checkpoint-resume, worktree agents, CronCreate monitoring. Use when building or debugging a pipeline skill."
async-jobs
yonatangross
Async job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, or scheduled task systems.
agent-orchestration
yonatangross
Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
langgraph
yonatangross
LangGraph workflow patterns for state management, routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop, streaming, subgraphs, and functional API. Use when building LangGraph pipelines, multi-agent systems, or AI workflows.
quality-gates
yonatangross
Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.
Execution Workflow
takeokunn
This skill should be used when the user asks to "execute task", "implement feature", "delegate work", "run workflow", "review code", "code quality check", or needs task orchestration and code review guidance. Provides execution, delegation, and code review patterns.
Org Ecosystem
takeokunn
This skill should be used when the user asks to "write org", "org-mode", "org file", ".org file", "org syntax", "org document", "org babel", "org export", "org agenda", "org capture", "GTD", "literate programming", "org publishing", or "org-mode workflow". Provides comprehensive Org-mode patterns and best practices.
brainstorming
yonatangross
"Design exploration with parallel agents. Use when brainstorming ideas, exploring solutions, or comparing alternatives."
remembering
oaustegard
Advanced memory operations reference. Basic patterns (profile loading, simple recall/remember) are in project instructions. Consult this skill for background writes, memory versioning, complex queries, edge cases, session scoping, retention management, type-safe results, proactive memory hints, GitHub access detection, and ops priority ordering.
creating-bookmarklets
oaustegard
Creates browser-executable JavaScript bookmarklets with strict formatting requirements. Use when users mention bookmarklets, browser utilities, dragging code to bookmarks bar, or need JavaScript that runs when clicked in the browser toolbar.
dart-log-failure-parser
flutter
Parse failures from Dart and Flutter test logs.
using-agentcairn-memory
ccf
Use when AgentCairn memory tools are loaded and starting a non-trivial task or finishing a decision/fix — recall prior memory before working, and remember durable facts worth carrying across sessions.
airflow
G1Joshi
Apache Airflow workflow orchestration. Use for data pipelines.
generate-skill
TanStack
Use when creating or extending library skill batches, updating guidance after library source or docs change, configuring repository skill distribution, or acting on an Intent review report, including when the maintainer asks only for the library change. For full-library discovery or taxonomy design, use domain-discovery; for generating an approved full-library tree, use tree-generator.
spacy
G1Joshi
spaCy NLP library with pipelines. Use for text processing.
github-copilot
G1Joshi
GitHub Copilot AI code suggestions and chat. Use for code completion.
ux-researcher
dylantarre
Use when evaluating animation usability, conducting motion studies, or when researching how animation affects user perception and task completion.
requirements-clarity
softaworks
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.