Classify incoming requests into the framework routing model.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add Eliyce/paqad-ai --skill request-classifier --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: request-classifier
description: Classify incoming requests into the framework routing model.
model_tier: fast
triggers:
- workflow:
- project-question
- feature-development
- bug-fix
- refactor
- migration
- investigation
cacheable: true
cache_key_inputs:
- request_text
output_format: yaml
input_schema:
request_text:
type: string
required: true
description: Raw user request to classify.
linked_spec_paths:
type: path[]
required: false
description: Optional spec or issue files explicitly linked to the request.
on_complete:
emit: classification_ready
triggers:
- router
---
## What It Does
Produces a deterministic request classification across the routing dimensions used by the framework so downstream skill and rule selection can rely on explicit signals instead of guesswork.
## Use This When
Use this at the start of a new request or whenever the effective scope changed enough that prior routing assumptions may no longer be safe.
## Inputs
- Read the request text, attached plan, and any directly linked issue or spec.
- Read the nearest canonical docs only when they clarify stack, module, or risk signals.
- Read `references/decision-rules.md` before assigning ambiguous dimension values.
## Procedure
1. Pipe the raw request into `scripts/extract-signals.sh` to get baseline keyword-derived dimensions (workflow, ui/api/db impact, scope, risk hint).
2. Override script defaults only when canonical evidence (linked spec, stack manifest, module map) contradicts them — record the override under Evidence.
3. Use `assets/dimensions.txt` for the allowed value set per dimension.
4. Default to most conservative accurate value when ambiguous; never invent certainty for risk/sensitivity.
5. Format per `assets/output.template.md`; validate with `scripts/lint-output.sh`.
## Output Contract
- Match `assets/output.template.md`: `## Classification` (one `key: value` per dimension) and `## Evidence` (bullet list for non-obvious calls).
- Output must pass `scripts/lint-output.sh` (exit 0).
## Escalate / Stop Conditions
- Ask when stack, workflow, or impact dimensions cannot be inferred safely from the request.
- Warn when canonical docs contradict the request about modules, interfaces, or current behavior.
- Do not fabricate certainty for risk or sensitivity dimensions.
## Resources
- `references/decision-rules.md`
- `scripts/extract-signals.sh`
- `scripts/lint-output.sh`
- `assets/output.template.md`
- `assets/dimensions.txt`
- `runtime/base/skills/existing-doc-checker/SKILL.md`
- `agents/openai.yaml`

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