Helps create, analyze, and maintain Architecture Decision Records
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Helps create, analyze, and maintain Architecture Decision Records
Validate code changes against Architecture Decision Records (ADRs)
Multi-tool orchestration patterns for complex Bluera Knowledge operations. Teaches progressive library exploration, adding libraries with job monitoring, handling large result sets, multi-store searches, and error recovery workflows.
Detects when user requests warrant critical analysis via /advise command
Configure and manage AeroSpace tiling window manager for macOS. Use when working with window layouts, tiling configurations, workspace management, monitor assignments, or AeroSpace keybindings. Keywords: aerospace, tiling, workspaces, window manager, i3-like.
Los usuarios perciben los diseños estéticamente atractivos como más usables que
Analyze changes and create a meaningful commit with agent authorship. Internal skill for evolve_loop.
Collect multiple AI opinions and synthesize one answer.
Extends the Strategy Coach agent following the Product Strategy Research Playbook methodology.
Idempotently create or update the AGENTS.md file in a project to register AgenticDev skills for discovery by AI agents. This skill ensures that any compatible AI agent working in the repository can di
Dependency management, updates, and security advisory handling. Use when adding, updating, or auditing project dependencies.
Manage git operations safely. Includes stale state detection, branch/commit management. Never pushes without explicit user confirmation.
Conduct structured interviews with the user. Use when multiple decisions need user input: ask ONE question at a time, wait for response, record answer, then proceed to next question.
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on confidence level, validate each, then finalize.
Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quality gates pass.
Evaluate how well a codebase supports autonomous agent execution based on the "How to Get Out of Your Agent's Way" principles.
A two-phase repair skill that analyzes errors and suggests fixes before executing repairs. Phase one: user describes error, agent analyzes and proposes solution. Phase two: upon approval, executes the repair action.
Create and structure Claude Code agent skills. Use when the user wants to create a new skill, write an agent skill, make a claude skill, or asks about SKILL.md files.
This workflow enables you to transition from manual implementation to high-level system architecture by managing autonomous AI agents (like Devin) as "junior buddies." By shifting implementation to ag
Knowledge base for orchestrating multi-phase workflow executions with standardized folder structures and agent delegation.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
AGENTS.md is the canonical agent-facing documentation. Keep it minimal—agents are capable and don't need hand-holding.
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common aggregation functions. For percentile metrics (tdigest), see analyzing-tdigest-metrics skill.
Orchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous.
Agile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, and velocity tracking. Use for story writing, sprint planning, stakeholder communication, and agile ceremonies.
Plan and execute effective sprints using Agile methodologies. Define sprint goals, estimate user stories, manage sprint backlog, and facilitate daily standups to maximize team productivity and deliver value incrementally.
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
Use when deciding between HITL, OHOTL, and AHOTL modes in AI-DLC workflows. Covers decision frameworks for human involvement levels and mode transitions.
Proactively manage development tasks in TASKS.md. Automatically tracks progress, updates status, prioritizes backlog, and estimates effort. Runs in background during development - no explicit invocation needed.
In the AI era, product market fit must be constantly "refounded." This framework moves teams away from "blunt instruments" (long roadmaps, rigid PRDs) toward a high-velocity, hands-on approach where t
Use when analyzing stakeholder psychology for negotiations, proposals, or persuasion. Creates research-backed personas revealing hidden motivations.
AI Questioning Pattern (MANDATORY)
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
Takes any text and rewrites it to remove common AI writing patterns, making it sound authentically human. Returns only the cleaned final version.
Tools for Vercel AI SDK v5. All tools use factory pattern, Zod validation, budget tracking, rate limiting, search caching, timeout enforcement.
Leverage AI tools effectively for professional writing tasks. Provides prompt patterns, refinement workflows, voice preservation techniques, and quality checkpoints for AI-augmented drafting.
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Expert Alamofire decisions for iOS/tvOS: when Alamofire adds value vs URLSession suffices, interceptor chain design trade-offs, retry strategy selection, and certificate pinning considerations. Use when designing network layer, implementing auth token refresh, or choosing between networking approaches. Trigger keywords: Alamofire, URLSession, interceptor, RequestAdapter, RequestRetrier, certificate pinning, Session, network layer, token refresh, retry
Implement comprehensive alert management with PagerDuty, escalation policies, and incident coordination. Use when setting up alerting systems, managing on-call schedules, or coordinating incident response.
Critical syntax rules for Algorand TypeScript (PuyaTs) that prevent compiler errors and runtime failures.
You are a shell alias manager for this dotfiles repository. Help manage aliases in the `.aliases` file with care and precision.
Align skill for the ikigai project
Validate alignment quality with insert size distribution, proper pairing rates, GC bias, strand balance, and other post-alignment metrics. Use when verifying alignment data quality before variant calling or quantification.
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Deploy universal wisdom voices from all traditions simultaneously - Hindu, Buddhist, Taoist, Abrahamic, Indigenous, Scientific - revealing their unified recognition of consciousness navigation.
Use when starting a new feature - running /alto-feature-setup, updating objective.md, or running alto-new-run. Interactive workflow for feature initialization.
{ONE_SENTENCE_PURPOSE}. Use when {TRIGGER_CONDITION}.
Score composed artifacts against blueprint rubric. Evaluates hook density, singability, rhyme tightness, section completeness, and profanity compliance. Returns scores and issues list to determine if fix loop is needed. Use after COMPOSE to validate artifacts before rendering.
Analiza métricas post-lanzamiento para determinar si un producto tiene tracción real o si debes pivotar. Interpreta señales de usuarios, retención, engagement y monetización. Úsalo después de lanzar para tomar decisiones basadas en datos sobre continuar, pivotar o cerrar.