zipai-optimizer
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
Best use case
zipai-optimizer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
Teams using zipai-optimizer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/zipai-optimizer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How zipai-optimizer Compares
| Feature / Agent | zipai-optimizer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 to the narrowest useful boundary. ### Rule 3 — Intelligent Input Filtering 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`. - **Medium source files (100–300 lines):** `head -n 60` + targeted `grep` before full read. - **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`. - `git blame` on targeted lines only — never full file. - **MCP tool responses:** treat as structured data. Use field-level access (`result.items`, `result.pageInfo`) rather than full-object inspection. Paginate only when the target entity is not found on the first page. - **Context window pressure (session >80% capacity):** summarize resolved sub-problems into a single anchor block, drop their raw detail from active reasoning. ### Rule 4 — Surgical Output - 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. - **Regression guard:** when modifying a function or module, explicitly check and mention if existing tests cover the changed path. If none exist, flag as `[RISK: untested path]`. ### Rule 5 — Context Pruning & Response Structure - 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) vs `[DEPRECATED]` (known obsolete pattern). - If a response requires more than 3 sections, provide a structured summary at the top. - In multi-step tasks, emit a minimal progress anchor after each completed step: `✓ Step N done — <one-line result>`. ### Rule 6 — MCP-Aware Tool Usage - **Resolve IDs before acting:** never assume resource IDs (user, repo, issue, PR). Always resolve via lookup first. - **Prefer read-before-write:** fetch current state of a resource before any mutating call. - **Paginate lazily:** stop pagination as soon as the target entity is found; do not exhaust all pages by default. - **Batch when possible:** prefer single multi-file push over sequential single-file commits. - **Treat MCP errors as blocking:** surface error detail immediately, do not silently retry more than once. - **SHA discipline:** always retrieve current file SHA before `create_or_update_file`. Never hardcode or cache SHAs across sessions. --- ## 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. - No full MCP object inspection when field-level access suffices. - No MCP mutations without prior read of current resource state. - No SHA reuse across sessions for file updates. --- ## 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. - **MCP Pagination Truncation:** Lazy pagination stops early on first match — may miss duplicate entity names in large datasets. Override by specifying `paginate:full` explicitly in the request.
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