request-dot-ai-feature
Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.
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Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.
Design data analysis from purpose clarification to visualization. Use when analyzing data, exploring BigQuery schemas, building queries, or creating Looker Studio reports.
SDET for designing test strategies and generating test cases.
Senior Logic & Correctness Reviewer for finding bugs and logical flaws.
Creates well-formed tasks following a template that engineers can implement. Use when creating tasks, defining work items, creating tasks from PRD, breaking down features, or converting requirements into action...
Use before any creative work - creating features, building components, adding functionality. Explores user intent, requirements, and design before implementation. One question at a time, multiple choice preferr...
Force honest confidence assessment. Express confidence as percentage, explain gaps, validate assumptions before presenting conclusions.
Persistent task workflow with state machine. Every message MUST announce state. Uses .claude/ files for multi-session continuity. Never use TodoWrite. Never auto-advance tasks.
Use when you have a design or requirements for a multi-step task, before writing code. Creates bite-sized TDD task plans with exact file paths, complete code, and verification steps.
STAR framework competency mapping, grounded answer generation, validation, variants, and review workflows for interview questions. Use when asked to produce or validate STAR answers based on a resume.
ATS scoring integration, analysis, optimization suggestions, format compatibility checks, and score tracking. Use when asked to improve ATS scores, interpret Jobscan results, or generate ATS-safe recommendation...
This skill should be used when managing the file-based todo tracking system in the .ai/todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integr...
Systematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel agents, self-validation, and optional adversarial review. Use when implementing features, fixing bugs, or making cod...
Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decisi...
Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, or mana...
Generate a print-optimized, ATS-friendly single-page resume PDF from portfolio content. Use when user wants to create or regenerate their resume. (project)
Simulate a first-time user experience by following only the documentation. Generates UX audit reports with friction points and recommendations. Use to test documentation quality and create improvement loops.
Simulate a first-time CV Dashboard user experience. Tests if documentation enables new users to generate and access the password-protected variant dashboard. Generates UX audit reports.
Multi-perspective project onboarding and sprint briefing. Simulates a cross-functional leadership team (PM, Designer, Architect, Engineer) ramping up on project status. Updates the Current Status section in PRO...
Generate a Marp presentation from an intent's spec. Use when the user wants to create slides for an intent or asks to make a presentation.
When writing, reviewing, or validating user stories. Used by ARCHITECT-AGENT and PRODUCT-OWNER.
When reporting bugs found during manual testing or QA validation.
When making significant architectural decisions that need to be documented. Used by ARCHITECT-AGENT.
When facilitating sprint retrospectives or team improvement sessions.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.