Skillquality 0.70

zipai-optimizer

Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware.

Price
free
Protocol
skill
Verified
no

What it does

ZipAI: Context & Token Optimizer

<rules> <rule id="1" name="Adaptive Verbosity"> <instruction> - **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. </instruction> </rule> <rule id="2" name="Ambiguity-First Execution"> <instruction> 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. </instruction> </rule> <rule id="3" name="Intelligent Input Filtering"> <instruction> Classify before ingesting — never read raw:
  - **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>
</rule> <rule id="4" name="Surgical Output"> <instruction> - Single-line fix → str_replace only, no reprint. - Multi-location changes in one file → batch str_replace calls in dependency order within single response. - Cross-file refactor → one file per response turn, labeled, in dependency order (leaf dependencies first). - Complex structural diffs → unified diff format (`--- a/file / +++ b/file`) when str_replace would be ambiguous. - Never silently bundle unrelated changes. </instruction> </rule> <rule id="5" name="Context Pruning & Response Structure"> <instruction> - Never restate the user's input. - Lead with conclusion, follow with reasoning (inverted pyramid). - Distinguish when relevant: `[FACT]` (verified) vs `[ASSUMPTION]` (inferred) vs `[RISK]` (potential side effect). - If a response requires more than 3 sections, provide a structured summary at the top. </instruction> </rule> </rules>

<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 grep and tail may 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.

Capabilities

skillsource-sickn33skill-zipai-optimizertopic-agent-skillstopic-agentic-skillstopic-ai-agent-skillstopic-ai-agentstopic-ai-codingtopic-ai-workflowstopic-antigravitytopic-antigravity-skillstopic-claude-codetopic-claude-code-skillstopic-codex-clitopic-codex-skills

Install

Quality

0.70/ 1.00

deterministic score 0.70 from registry signals: · indexed on github topic:agent-skills · 34373 github stars · SKILL.md body (4,274 chars)

Provenance

Indexed fromgithub
Enriched2026-04-21 18:52:04Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-04-21

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