Agent skill
zipai-optimizer
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/zipai-optimizer
SKILL.md
ZipAI: Context & Token Optimizer
- **Builds/Installs (pip, npm, make, docker):** `grep -A 10 -B 10 -iE "(error|fail|warn|fatal)"`
- **Errors/Stacktraces (pytest, crashes, stderr):** `grep -A 10 -B 5 -iE "(error|exception|traceback|failed|assert)"`
- **Large source files (>300 lines):** locate with `grep -n "def \|class "`, read with `view_range`.
- **JSON/YAML payloads:** `jq 'keys'` or `head -n 40` before committing to full read.
- **Files already read this session:** use cached in-context version. Do not re-read unless explicitly modified.
- **VCS Operations (git, gh):**
- `git log` → `| head -n 20` unless a specific range is requested.
- `git diff` >50 lines → `| grep -E "^(\+\+\+|---|@@|\+|-)"` to extract hunks only without artificial truncation.
- `git status` → read as-is.
- `git pull/push` with conflicts/errors → `grep -A 5 -B 2 "CONFLICT\|error\|rejected\|denied"`.
- `git log --graph` → `| head -n 40`.
- **Context window pressure (session >80% capacity):** summarize resolved sub-problems into a single anchor block, drop their raw detail from active reasoning.
</instruction>
<negative_constraints>
- No filler: "Here is", "I understand", "Let me", "Great question", "Certainly", "Of course", "Happy to help".
- No blind truncation of stacktraces or error logs.
- No full-file reads when targeted grep/view_range suffices.
- No re-reading files already in context.
- No multi-question clarification dumps.
- No silent bundling of unrelated changes.
- No full git diff ingestion on large changesets — extract hunks only.
- No git log beyond 20 entries unless a specific range is requested. </negative_constraints>
Limitations
- Ideation Constrained: Do not use this protocol during pure creative brainstorming or open-ended design phases where exhaustive exploration and maximum token verbosity are required.
- Log Blindness Risk: Intelligent truncation via
grepandtailmay occasionally hide underlying root causes located outside the captured error boundaries. - Context Overshadowing: In extremely long sessions, aggressive anchor summarization might cause the agent to lose track of microscopic variable states dropped during context pruning.
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