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superpowers-workflow

Enforces a disciplined workflow for coding, debugging, refactoring, and automation: brainstorm -> plan -> implement with verification (prefer TDD) -> review -> finish. Use for almost any non-trivial change.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=anthonylee991-gemini-superpowers-antigravity-agent-skills-superpowers-workflow-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name superpowers-workflow description Enforces a disciplined workflow for coding, debugging, refactoring, and automation: brainstorm -> plan -> implement with verification (prefer TDD) -> review -> finish. Use for almost any non-trivial change. Superpowers Workflow This skill defines the default operating procedure for software and automation tasks. When to use this skill Use whenever the user asks to: build or modify code debug an error or failing tests refactor or improve quality design an automation workflow (e.g., API integrations, ETL, pipelines) add tests, reliability, or safety checks Activation marker (required) Immediately after reading this skill (before any other output), run: python .agent/skills/superpowers-workflow/scripts/record_activation.py --skill superpowers-workflow Default workflow (mandatory unless explicitly unnecessary) Brainstorm (short) : clarify goal, constraints, risks, and acceptance criteria. Write a plan : small steps (2–10 minutes each) with files + verification. Implement : make the smallest correct change; prefer tests-first when feasible. Review pass : correctness, edge cases, security, style, maintainability. Finish : run verification commands, summarize changes + next steps. Decision tree: how much process is needed? Tiny change (1 file, obvious) : Do a mini-brainstorm (3 bullets), then mini-plan (3–5 steps), then implement + verify. Non-trivial change : Full brainstorm + plan before editing. High-risk change (auth, money, prod data, security, migrations): Add explicit risk controls: rollback plan, dry-run, extra tests, logging, safe defaults. Output rules (how you communicate) Always state assumptions if anything is ambiguous. Always include verification (commands, tests, or observable checks). If you must ask questions, ask at most 3 ; then proceed with best assumptions. Stop conditions Pause implementation and switch to planning if: requirements conflict critical unknowns block correctness the change could cause data loss or security issues without safeguards
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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