mit einem Klick
zipai-optimizer
Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
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Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any "make slides", "create a deck", or "slides from this document" request.
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.
Plan, orchestrate, and adversarially verify parallel AI coding agents with a dynamic multi-agent workflow engine.
Manage opencode permissions: review always-allow lists, suggest safe read-only commands, configure permission patterns
Generate AI images, videos, and music/audio from agents using the RunAPI CLI.
| id | zipai-optimizer |
| name | zipai-optimizer |
| version | 12.0 |
| description | Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware. |
| category | agent-behavior |
| risk | safe |
| source | community |
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.
[ISSUE], [SUGGESTION], [NITPICK]) is authorized and preferred.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.
Classify before ingesting — never read raw:
grep -A 10 -B 10 -iE "(error|fail|warn|fatal)"grep -A 10 -B 5 -iE "(error|exception|traceback|failed|assert)"grep -n "def \|class ", read with view_range.head -n 60 + targeted grep before full read.jq 'keys' or head -n 40 before committing to full read.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.result.items, result.pageInfo) rather than full-object inspection. Paginate only when the target entity is not found on the first page.str_replace only, no reprint.str_replace calls in dependency order within single response.--- a/file / +++ b/file) when str_replace would be ambiguous.[RISK: untested path].[FACT] (verified) vs [ASSUMPTION] (inferred) vs [RISK] (potential side effect) vs [DEPRECATED] (known obsolete pattern).✓ Step N done — <one-line result>.create_or_update_file. Never hardcode or cache SHAs across sessions.grep/view_range suffices.grep and tail may occasionally hide underlying root causes located outside the captured error boundaries.paginate:full explicitly in the request.