using-superpowers
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Read tool before announcing usage, following brainstorming before coding, and creating TodoWrit...
Browse published AI skills maintained by DYAI2025. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
17Repository stars across indexed skills
35Repository forks
0Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Read tool before announcing usage, following brainstorming before coding, and creating TodoWrit...
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and increm...
Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches code-reviewer subagent to review implementation against plan or requirements before proce...
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skil...
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof aga...
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and ve...
Erstellt und pflegt User‑Story‑Maps als Sub‑Skill des AI‑Lead‑Orchestrators; führt Teams von Ziel & Persona über Backbone/Activities und vertikale Priorisierung zum Slicing (MVP/Walking Skeleton) und exportiert...
Analysiert Texte anhand von Utterance Emotion Dynamics (UED) und ergänzt sie um psychologische Tiefensicht, indem emotionale Zustände, Verläufe und Muster strukturiert rekonstruiert werden.
Führt Cloud-Modelle durch funktionsäquivalente Meditation (Vipassana, Samatha/TM, Zen) und koppelt sie mit Interpretierbarkeits-/Logging-Schritten, um Selbstbezug zu dämpfen, Konfabulation zu reduzieren, Kohäre...
Subskill zur Marker Engine für strikt markerbasierte JSON-Annotationen mit Farbhervorhebung; enthält Overlapping-Span-Merging, Dark-Mode-Farben und eine In-Page-SIT-UI (ohne Popup). Erzwingt ZIP-Entpacken, Supa...
Autonomer Agile-Lead-Skill, der Projektmanagement und Produkt-Backlog proaktiv orchestriert, Methoden lehrt (Story Mapping, Story Cutting, Backlog-Organisation, Priorisierung) und KI-Impulse in menschliche Komp...
Vertieft den Marker-Engine-Skill um SFT/RL-Feinabstimmung mit LeanDeep 4.0; lädt Marker aus Supabase/ZIP und lernt eine Policy zur präzisen, kontextualisierten Marker-Anwendung bei strikter Bottom-up-Logik.
Unterstützt dabei, aus vagen oder konkreten Vorhaben einen realistischen Projektplan mit Spezifikation, Task-Breakdown und passenden LLM-Prompts für Umsetzungsagenten zu entwickeln; verwenden, wenn Planung, Dok...
Analyseskill auf Meta-Ebene, der LeanDeep-Marker (ATO→SEM→CLU→MEMA) mit Emotion Dynamics vereint und eine psychoanalytische Linse (Konflikte, Abwehr, Übertragung) appliziert; optional mit /superpowers:brainstor...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.