tacigent-stage-intake

Convert natural-language wizard requests and RunSpec into typed intent contracts.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/Me1e/ralphthon --skill tacigent-stage-intake
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tacigent-stage-intake
Source: https://github.com/Me1e/ralphthon/tree/main/.agents/skills/tacigent-stage-intake
Command: npx skills add https://github.com/Me1e/ralphthon --skill tacigent-stage-intake

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tacigent Stage 1: Intake translates wizard 입력을 typed intent contract로 정리한다. 완료 시 반드시 tacigent-stage-problem을 invoke한다.

Core Features & Use Cases

  • Lightweight method framing and diff-first interpretation following tacigent protocol
  • Generates artifacts such as artifacts/intake.md, artifacts/interpretation-ledger.md, and artifacts/intake-method-plan.json to guide downstream stages
  • Ensures a deterministic handoff to tacigent-stage-problem and records necessary continuations or hard blocks for external constraints

Quick Start

Provide your initial RunSpec and let the skill generate an intake plan and invoke tacigent-stage-problem.

Frequently Asked Questions about tacigent-stage-intake

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

FAQPage Schema
How do I convert wizard input into a structured intent contract?

To convert wizard input into a structured intent contract, you provide your initial RunSpec to stabilize and categorize the request. The skill applies method framing to generate a typed contract, interpretation ledgers, and method artifacts without overwriting raw user input.

What is a typed intent contract for downstream stages?

A typed intent contract is a structured interpretation of natural-language wizard requests that ensures deterministic handoff to downstream processing stages. It stabilizes the RunSpec and captures interpretations in ledgers to guide subsequent actions.

How do I start stage-based intake workflows with a RunSpec?

You start stage-based intake workflows by supplying your initial RunSpec directly. The skill processes the request using diff-first interpretation to produce an intake plan and automatically invokes the next stage for continued processing.

Can I use method framing to prepare RunSpec for downstream stages?

Yes, you can use lightweight method framing to prepare your RunSpec for downstream stages. This approach ensures the RunSpec is stabilized and categorized into interpretable artifacts before any further stage invocation occurs.

Why does my downstream stage invocation require an intake method plan?

Downstream stage invocation requires an intake method plan because it ensures deterministic handoff by recording necessary continuations or hard blocks. The plan stabilizes the RunSpec and creates interpretation ledgers to guide subsequent processing.

When should I not use diff-first interpretation for intent framing?

You should not use diff-first interpretation for intent framing when external constraints create hard blocks that prevent stage progression. The process records these limitations in artifacts to halt downstream invocation when requirements are not met.