Proactively analyze user requests at the start of conversations to determine task type, assess prompt quality, and intelligently recommend which skills to activate. Should activate for ALL user requests to ensure optimal workflow. Evaluates clarity, specificity, and completeness to suggest prompt-optimizer when needed. Identifies UI design tasks for ui-analyzer and component requests for react-component-generator. Acts as intelligent skill coordinator.
SkillScore86Maintained
Automatic
◆AI Engineer pack
Last verified 8/24/2026
What it changes
Passed 19 of 22 test cases with the skill, and 10 of 22 without it.
Without skill45%
With skill86%
Checks it passed that the model alone missed
decides to proceed directly
recommends ui-analyzer skill
recommends prompt-optimizer skill
and 11 more in the full report
11 fixed8 passed either way1 still failing2 broke
Pass-rate lift
+41 pp
Tokens
+179%
Agent turns
0%
Response time
-29%
Model gemini-3.6-flashMeasured 8/24/2026v119 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 11
Prompt
Perform a pre-execution review of this request: 'My React useEffect is running twice on mount and causing infinite re-renders. Here is my index.tsx code snippet...' Rate quality, categorize the task, and state the execution decision.
What was checked, without and with the skill
Checked
Without skill
With skill
classifies the task as Debugging/Fixing
Passed
Passed
decides to proceed directly with implementation
Missed
Passed
case-06 · gemini-3.6-flash · 8/24/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md510 lines2 files
Request Analyzer
This skill proactively analyzes user requests to determine the task type, assess prompt quality, and intelligently recommend which other skills should be activated to best serve the user's needs.
The concierge proxy — turn a vague user script ("I need the agent to help me do X") into a context contract, route it to the right skills/workflows, add backpressure (tests/evals/reviews/approvals), execute, and report. Use when a request is multi-step, durable, or human-in-the-loop and you'd otherwise hand-roll the orchestration; skip it for a single prompt → single answer.