codex-intent-context-analyzer

Extract structured intent JSON from code or documentation change prompts.

6|1|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/Bang-isme/CodexAI---Skills --skill codex-intent-context-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex-intent-context-analyzer
Source: https://github.com/Bang-isme/CodexAI---Skills/tree/main/skills/codex-intent-context-analyzer
Command: npx skills add https://github.com/Bang-isme/CodexAI---Skills --skill codex-intent-context-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts vague prompts requesting code or documentation changes into a precise, structured intent representation that enables deterministic routing, explicit requirements, and controlled execution.

Core Features & Use Cases

  • Structured intent extraction: outputs fields like intent, goal, pain_points, constraints, missing_info, normalized_prompt, complexity, and needs_confirmation.
  • Socratic gating: triggers clarifying questions for complex or ambiguous scopes and surfaces trade-offs.
  • Agent routing: proposes an appropriate primary/secondary agent based on domain signals.
  • Activation and guardrails: activates for edits to code/docs, and waits for explicit confirmation prior to implementation; supports large repo comprehension with staged deep-reading.
  • Reuse in pipelines: integrates before implementation steps such as build, fix, review, or docs tasks.

Quick Start

Provide a code or documentation change request and let the analyzer return a structured intent JSON with routing guidance.

Frequently Asked Questions about codex-intent-context-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured intent from a vague prompt for code or documentation edits?

To extract structured intent from a vague prompt, this analyzer identifies core goals, pain points, constraints, and missing info, returning a normalized JSON representation for deterministic routing and controlled execution.

How does Socratic routing handle ambiguous code change requests?

Socratic routing handles ambiguous code change requests by triggering clarifying questions and surfacing trade-offs for complex scopes, waiting for explicit confirmation before proposing an agent route or implementation.

Can I use this intent analyzer to route prompts to specific agent workflows?

Yes, you can use this intent analyzer to route prompts by proposing appropriate primary and secondary agents based on extracted domain signals from the structured JSON output.

What is the best way to normalize complex prompts before a build or review pipeline?

The best way to normalize complex prompts before a build or review pipeline is to parse them into structured fields like intent, complexity, and missing_info, enabling controlled execution and integration before implementation steps.

Does the intent context analyzer require explicit confirmation before modifying code?

Yes, the intent context analyzer requires explicit confirmation before modifying code or documentation, returning a fenced JSON block and pausing implementation until approval is granted.

When do I need structured JSON intent extraction for documentation updates?

You need structured JSON intent extraction for documentation updates when requests are vague or complex, ensuring requirements are explicit, scopes are clarified via Socratic gating, and execution is deterministic.