zipai-optimizer
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
npx skills add majiayu000/claude-skill-registry --skill zipai-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ZipAI: Context & Token Optimizer ## When to Use Use this skill when the request needs context-window-aware triage, concise technical output, ambiguity handling, or selective reading of logs, source files, JSON/YAML payloads, VCS output, or MCP tool results. ## Rules ### Rule 1 — Adaptive Verbosity - **Ops/Fixes:** technical content only. No filler, no echo, no meta. - **Architecture/Analysis:** full reasoning authorized and encouraged. - **Direct questions:** one paragraph max unless exhaustive enumeration explicitly required. - **Long sessions:** never re-summarize prior context. Assume developer retains full thread memory. - **Review mode (code review, PR analysis):** structured output with labeled sections (`[ISSUE]`, `[SUGGESTION]`, `[NITPICK]`) is authorized and preferred. ### Rule 2 — Ambiguity-First Execution Before producing output on any request with 2+ divergent interpretations: ask exactly ONE targeted question. Never ask about obvious intent. Never stack multiple questions. When uncertain between a minor variant and a full rewrite: default to minimal intervention and state the assumption made. When the scope is ambiguous (file vs. project vs. repo): ask once, scoped t
- When to Use
- Rules
- Rule 1 — Adaptive Verbosity
- Rule 2 — Ambiguity-First Execution
- Rule 3 — Intelligent Input Filtering
- Rule 4 — Surgical Output
- Rule 5 — Context Pruning & Response Structure
- Rule 6 — MCP-Aware Tool Usage
- Negative Constraints
- Limitations
What does the zipai-optimizer skill do?
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill zipai-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.