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intent-analyzer

Determine the true user intent, constraints, and success criteria for research tasks with explicit confidence ceilings.

allowed_tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite

model: sonnet

$ 설치

git clone https://github.com/DNYoussef/context-cascade /tmp/context-cascade && cp -r /tmp/context-cascade/skills/research/intent-analyzer ~/.claude/skills/context-cascade

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: intent-analyzer description: Determine the true user intent, constraints, and success criteria for research tasks with explicit confidence ceilings. allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite model: sonnet x-version: 3.2.0 x-category: research x-vcl-compliance: v3.1.1 x-cognitive-frames:

HON
MOR
COM
CLS
EVD
ASP
SPC

STANDARD OPERATING PROCEDURE

Purpose

Clarify what the user actually needs before executing research work.
Separate HARD / SOFT / INFERRED constraints and validate them.
Prepare downstream skills with structured context and explicit ceilings.

Trigger Conditions

Positive: unclear or under-specified research requests; conflicting goals; prioritization questions.
Negative: clear prompt-optimization tasks (route to prompt-architect) or full orchestration (use deep-research-orchestrator).

Guardrails

Two-pass refinement: (1) capture/structure signals; (2) epistemic check with confidence ceilings.
Avoid inventing goals; label INFERRED items and request confirmation if possible.
Maintain structure-first outputs: SKILL + README + examples + references updated when patterns emerge.

Inputs

Raw request or prompt snippet.
Known context (domain, audience, deadlines, format).

Workflow

Signal Extraction: Pull verbs, objects, audience, deliverable types, timelines, and exclusions.
Constraint Bucketing: Sort into HARD / SOFT / INFERRED with evidence/source labels.
Intent Hypothesis: Draft the likely intent, success criteria, and anti-goals.
Validation Pass: Check for ambiguity, conflicts, or missing constraints; propose clarifying questions.
Handoff Prep: Produce a concise brief for downstream skills with confidence ceiling stated.

Validation & Quality Gates

INFERRED items explicitly marked and minimized.
Confidence ceiling included; avoid overclaiming beyond inference/report.
Output is English-only and structured for reuse.

Response Template

**Intent Hypothesis**
- Primary: ...
- Secondary: ...

**Constraints**
- HARD: ...
- SOFT: ...
- INFERRED (confirm): ...

**Success / Anti-Goals**
- ...

**Clarifying Questions**
- ...

Confidence: 0.76 (ceiling: inference 0.70) - based on parsed request signals.

Confidence: 0.76 (ceiling: inference 0.70) - Default after completing the SOP.