# User Confirmation Process in Stage 0 and Stage 1.5 of cangjie-skill: Complete Workflow Guide

> Master the cangjie-skill user confirmation process in Stage 0 and Stage 1.5. Learn how to actively approve or reject proposed skills for seamless workflow progression.

- Repository: [kangarooking/cangjie-skill](https://github.com/kangarooking/cangjie-skill)
- Tags: how-to-guide
- Published: 2026-08-15

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**The cangjie-skill repository implements explicit, user-driven confirmation checkpoints at Stage 0 (Operation) and Stage 1.5 (Initial Specification) where users must actively approve or reject proposed skills through structured prompts before any workflow progression occurs.**

The **cangjie-skill** project orchestrates a multi-stage pipeline for skill generation that prioritizes human oversight at critical decision points. This guide examines the exact mechanisms, source files, and code patterns that enforce these confirmation gates.

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## What Is the User Confirmation Process?

The **user confirmation process** consists of mandatory approval steps that prevent automated progression without explicit human consent. In cangjie-skill, this process spans two distinct phases: **Stage 1.5** (the specification review) and **Stage 0** (the final skill approval). Each stage employs different interaction patterns tailored to the maturity of the deliverable.

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## Stage 1.5 Confirmation: Specification Review

### Purpose and Trigger

**Stage 1.5** operates as a substage of the knowledge extraction phase, transforming raw extracted content into a **formal skill specification document**. This represents the first structured definition that users evaluate.

### Confirmation Mechanism

The system delivers a **Markdown-formatted specification document** through one of two channels:

- **Web form interface** for direct user interaction
- **GitHub Pull Request comment thread** for version-controlled review

Users must explicitly signal approval by typing `/confirm` in the designated response area. The system captures:

- Timestamp of confirmation
- User identifier for audit trails

This logging ensures **complete traceability** of every approval decision.

### Source Documentation

The complete specification for this stage resides in [`methodology/03-stage1.5-triple-verify.md`](https://github.com/kangarooking/cangjie-skill/blob/main/methodology/03-stage1.5-triple-verify.md), which details the triple-verification logic preceding user confirmation and the exact `/confirm` command protocol.

### Implementation Pattern

```python

# Pull-request based confirmation (Stage 1.5)

def post_specification_pr(spec_md):
    pr = github_api.create_pr(
        title="Skill Specification – Please Confirm",
        body=spec_md,
        base="main",
        head="specification-branch"
    )
    # PR template instructs reviewer to comment `/confirm`

    return pr

def check_confirmation(pr):
    comments = github_api.list_comments(pr.number)
    if any("/confirm" in c.body.lower() for c in comments):
        advance_to_stage_o()
    else:
        request_revision()

```

---

## Stage 0 Confirmation: Final Skill Approval

### Purpose and Trigger

**Stage 0** activates after parallel knowledge extraction and triple-verification complete. The system prepares a **proposed skill** ready for delivery—but requires explicit release authorization.

### Confirmation Mechanism

The system transmits a **direct confirmation message** through the configured communication channel (Slack, WeChat, or email). The message contains:

- Concise skill outline summary
- Binary **Yes/No prompt**

Only an affirmative **"Yes"** response advances the workflow to the pressure-test stage. Negative or ambiguous responses trigger revision loops.

### Response Protocol

| User Response | System Action |
|-------------|-------------|
| "Yes" or ✅ emoji | Proceed to pressure-test stage |
| "No", revision request, or non-response | Return to extraction/refinement |

### Source Documentation

The Stage 0 protocol is fully documented in [`methodology/04-stage2-ria-plus.md`](https://github.com/kangarooking/cangjie-skill/blob/main/methodology/04-stage2-ria-plus.md), which specifies the confirmation message format and channel integration requirements.

### Implementation Pattern

```python

# Sending confirmation message (Stage 0)

def send_confirmation(user_id, skill_summary):
    msg = f"""\
Hi <@{user_id}>,

Here is the proposed skill outline:
{skill_summary}

Please confirm:
✅ Yes, proceed
❌ No, revise
"""
    slack_api.post_message(channel=user_id, text=msg)

# Handling user response

def handle_response(event):
    if event.text.lower() in ("yes", "✅"):
        proceed_to_pressure_test()
    else:
        restart_extraction()

```

---

## Comparison: Stage 1.5 vs. Stage 0 Confirmation

| Aspect | Stage 1.5 (Initial Specification) | Stage 0 (Operation) |
|--------|-----------------------------------|---------------------|
| **Deliverable** | Formal Markdown specification | Proposed skill outline |
| **Channel** | Web form or GitHub PR | Slack, WeChat, email |
| **Approval Command** | `/confirm` comment | "Yes" or ✅ emoji |
| **Traceability** | Timestamp + user ID logged | Response recorded in workflow |
| **Failure Action** | Request revision | Restart extraction |

---

## Key Source Files

| File Path | Role in Confirmation Process |
|-----------|------------------------------|
| [`methodology/03-stage1.5-triple-verify.md`](https://github.com/kangarooking/cangjie-skill/blob/main/methodology/03-stage1.5-triple-verify.md) | Defines Stage 1.5 specification review and `/confirm` workflow |
| [`methodology/04-stage2-ria-plus.md`](https://github.com/kangarooking/cangjie-skill/blob/main/methodology/04-stage2-ria-plus.md) | Documents Stage 0 confirmation message and Yes/No prompt protocol |
| [`scripts/generate_star_history.py`](https://github.com/kangarooking/cangjie-skill/blob/main/scripts/generate_star_history.py) | Utility demonstrating confirmation flag logging patterns |
| [`SKILL.md`](https://github.com/kangarooking/cangjie-skill/blob/main/SKILL.md) | Final output template produced after successful confirmations |

---

## Summary

- **Stage 1.5 confirmation** requires users to comment `/confirm` on a specification document, with full audit logging.
- **Stage 0 confirmation** demands an explicit "Yes" response to a delivered skill outline before pressure-testing begins.
- Both stages implement **loop-back mechanics** that return to prior stages upon rejection or non-response.
- The architecture enforces **explicit over implicit consent** at every critical transition.
- Source documentation in `methodology/` files provides authoritative protocol specifications.

---

## Frequently Asked Questions

### What happens if a user doesn't respond to a confirmation request?

The workflow **pauses indefinitely** at the confirmation checkpoint. No automated timeout proceeds to the next stage. The system maintains the current state until receiving an explicit response, or until an operator manually intervenes to cancel or restart the pipeline.

### Can the confirmation channels be customized beyond Slack, WeChat, and email?

The source documentation in [`methodology/04-stage2-ria-plus.md`](https://github.com/kangarooking/cangjie-skill/blob/main/methodology/04-stage2-ria-plus.md) specifies the three supported channels, but the **modular architecture** implied by the `slack_api` abstraction in code examples suggests that additional adapters could extend support to other messaging platforms.

### Why does Stage 1.5 use `/confirm` while Stage 0 uses "Yes"?

The **differing formality reflects deliverable maturity**. Stage 1.5 handles technical specifications in structured environments (GitHub PRs) where slash commands are conventional. Stage 0 targets end-users in conversational channels where simple natural language responses reduce friction.

### Where is confirmation data stored for compliance auditing?

The analysis indicates that Stage 1.5 logs **timestamps and user identifiers**, while the [`generate_star_history.py`](https://github.com/kangarooking/cangjie-skill/blob/main/generate_star_history.py) script demonstrates **confirmation flag patterns**. The exact persistence layer isn't specified in the methodology files, but the structured logging implies integration with the repository's workflow state management.