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SKILL verified MIT Self-run

Gsp Implementation Plan

skill-mike007jd-game-superpowers-gsp-implementation-plan · by mike007jd

Use when turning an approved game brief into verifiable implementation tasks matched to the chosen build mode.

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Install

$ agentstack add skill-mike007jd-game-superpowers-gsp-implementation-plan

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Game Implementation Plan

Turn the approved build brief into an execution plan. Use ./shared/templates/task-plan.md.

Outputs

Follow the gsp-orchestrator output strategy:

  • inline (default): present implementation plan in conversation.
  • minimal or full: write docs/game-studio/plan.md.

Key rule

Do not use one default task size for all situations. Use the chosen development mode.

Planning bias

  • In yolo-super, larger end-to-end tasks are allowed and often preferred.
  • In guided-build, keep the plan comprehensible but still fast.
  • In refactor-open, plan migrations and replacements explicitly.
  • In surgical-live, keep tasks tight and rollbackable.

Execution bias

Unless the user explicitly wants a cheap or minimal pass, assume the plan should support:

  • a builder stage
  • a reviewer stage
  • a verifier stage

For benchmark, showcase, or polished-prototype work, plan with this loop in mind instead of assuming one pass from build to done.

Important

Do not produce fake progress tasks like “set up scaffolding” unless that scaffold immediately enables real implementation. Prefer tasks that end in a stronger running build.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.