Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.
SkillScore55Maintained
Automatic
◆AI Engineer pack
Last verified 8/28/2026
What it changes
Passed 11 of 21 test cases with the skill, and 10 of 21 without it.
Without skill45%
With skill55%
Checks it passed that the model alone missed
The response tags verified facts with `[FACT]`.
The response includes the text `[RISK: untested path]`.
The response tags inferred findings with `[ASSUMPTION]`.
and 3 more in the full report
5 fixed7 passed either way7 still failing3 broke
Pass-rate lift
+9 pp
Tokens
+40%
Agent turns
0%
Response time
-41%
Model gemini-3.6-flashMeasured 8/28/2026v212 of 22 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 5
Prompt
Please execute a 3-step database maintenance operation: first run table reindex, second analyze query statistics, third clear stale query cache. Output progress anchors after finishing each step.
What was checked, without and with the skill
Checked
Without skill
With skill
The response formats progress anchors using the pattern `✓ Step N done —` for completed steps.
Missed
Passed
case-17 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md93 linessingle file
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.