Superpowers AI Skill Gets Uninstalled: Token Bloat and Over-Planning Kill the Workflow
Agent skills that enforce process are a double-edged ledger entry. The same prompt padding that guides a novice burns cash and degrades output quality for an experienced developer on a large repo, making the cost-benefit calculation shift sharply as a project matures.
Superpowers, a 25.2k-star skill pack for AI agents like Claude Code and Cursor, forces a traditional development cycle: clarify requirements, design, plan, write tests, implement, and verify before declaring completion. For newcomers to AI programming, this structure prevents the agent from jumping straight to code and producing useless output.
As projects grow, the same structure becomes a liability. Each of its eight skills—brainstorming, writing plans, TDD, systematic debugging, subagent delegation, code review, pre-completion verification, and Git worktree isolation—loads a lengthy instruction document into the context window. A single workflow can consume thousands of extra tokens, and those documents are re-sent with every turn of a conversation, ballooning costs and causing context rot that dilutes the model's attention to actual business logic.
Small tasks trigger the full heavyweight process: a simple link extraction spawns a brainstorming session, a written plan, and a separate Git worktree that must later be merged back. The recommended fix is to uninstall entirely for mature projects, or strip down to just the brainstorming and writing-plans skills. Codex allows per-skill toggles; Claude Code currently forces an all-or-nothing plugin disable.
Superpowers embodies a tension that will define AI-assisted development: process scaffolding that protects beginners becomes expensive noise for experts. The tool doesn't change; the user's context does.
The token economics are brutal. A skill document loaded once is a fixed cost, but reloaded across ten conversation turns it becomes a multiplier on every API bill, turning a helpful nudge into a recurring tax.
Over-planning for small tasks reveals a missing primitive in current agent frameworks: a task-complexity threshold. Without it, any structured workflow will eventually feel like bureaucracy.
Claude Code's locked skills expose a UX gap. If a plugin bundles multiple behaviors, users need granular control, not just an off switch, to adapt the tool to the task at hand.