prepare-to-engage — for Claude Code prepare-to-engage, montgowork, community, for Claude Code, ide skills, bpsai-pair engage <backlog>, bash git status, If unmerged files exist, theirs, paircoder

v1.0.0

Über diesen Skill

Geeigneter Einsatz: Ideal for AI agents that need run steps 1–3 in parallel (they're independent reads), then fix issues sequentially. Lokalisierte Zusammenfassung: Workforce Navigator for Montgomery, Alabama # Prepare to Engage When to Use Before running bpsai-pair engage <backlog . This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Funktionen

Run steps 1–3 in parallel (they're independent reads), then fix issues sequentially.
Resolve Unmerged Paths
If unmerged files exist:
.paircoder/ files (state.md, store.db, task files): auto-fix with --theirs — engage regenerates
git checkout --theirs <files && git add <files

# Core Topics

fivedollarfridays fivedollarfridays
[2]
[0]
Updated: 4/11/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
64
Canonical Locale
en
Detected Body Locale
en

Geeigneter Einsatz: Ideal for AI agents that need run steps 1–3 in parallel (they're independent reads), then fix issues sequentially. Lokalisierte Zusammenfassung: Workforce Navigator for Montgomery, Alabama # Prepare to Engage When to Use Before running bpsai-pair engage <backlog . This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Warum diese Fähigkeit verwenden

Empfehlung: prepare-to-engage helps agents run steps 1–3 in parallel (they're independent reads), then fix issues sequentially. Workforce Navigator for Montgomery, Alabama # Prepare to Engage When to Use Before running

Am besten geeignet für

Geeigneter Einsatz: Ideal for AI agents that need run steps 1–3 in parallel (they're independent reads), then fix issues sequentially.

Handlungsfähige Anwendungsfälle for prepare-to-engage

Anwendungsfall: Applying Run steps 1–3 in parallel (they're independent reads), then fix issues sequentially
Anwendungsfall: Applying Resolve Unmerged Paths
Anwendungsfall: Applying If unmerged files exist:

! Sicherheit & Einschränkungen

  • Einschraenkung: Source or test files: show the conflict diff and ask the user which version to keep. Do not auto-resolve these.
  • Einschraenkung: The tree must be clean for engage to checkout its branch. Fix by category:
  • Einschraenkung: .paircoder/ bookkeeping only (state.md, store.db, task files, config): commit automatically.

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is prepare-to-engage?

Geeigneter Einsatz: Ideal for AI agents that need run steps 1–3 in parallel (they're independent reads), then fix issues sequentially. Lokalisierte Zusammenfassung: Workforce Navigator for Montgomery, Alabama # Prepare to Engage When to Use Before running bpsai-pair engage <backlog . This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install prepare-to-engage?

Run the command: npx killer-skills add fivedollarfridays/montgowork/prepare-to-engage. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for prepare-to-engage?

Key use cases include: Anwendungsfall: Applying Run steps 1–3 in parallel (they're independent reads), then fix issues sequentially, Anwendungsfall: Applying Resolve Unmerged Paths, Anwendungsfall: Applying If unmerged files exist:.

Which IDEs are compatible with prepare-to-engage?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for prepare-to-engage?

Einschraenkung: Source or test files: show the conflict diff and ask the user which version to keep. Do not auto-resolve these.. Einschraenkung: The tree must be clean for engage to checkout its branch. Fix by category:. Einschraenkung: .paircoder/ bookkeeping only (state.md, store.db, task files, config): commit automatically..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add fivedollarfridays/montgowork/prepare-to-engage. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use prepare-to-engage immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

prepare-to-engage

Workforce Navigator for Montgomery, Alabama # Prepare to Engage When to Use Before running bpsai-pair engage <backlog . This AI agent skill supports Claude

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Prepare to Engage

When to Use

Before running bpsai-pair engage <backlog>. Fixes the issues that cause engage to fail at branch checkout so the user can copy-paste the engage command and go.

The user invokes this with /prepare-to-engage or by asking to prepare for engage. The backlog path comes from context — check plans/backlogs/ for the target file, or ask if ambiguous.

Steps

Run steps 1–3 in parallel (they're independent reads), then fix issues sequentially.

1. Resolve Unmerged Paths

bash
1git status

If unmerged files exist:

  • .paircoder/ files (state.md, store.db, task files): auto-fix with --theirs — engage regenerates these.
    bash
    1git checkout --theirs <files> && git add <files>
  • Source or test files: show the conflict diff and ask the user which version to keep. Do not auto-resolve these.

2. Clean the Working Tree

bash
1git diff --stat 2git diff --cached --stat

The tree must be clean for engage to checkout its branch. Fix by category:

  • .paircoder/ bookkeeping only (state.md, store.db, task files, config): commit automatically.
    bash
    1git add .paircoder/ && git commit -m "chore: pre-engage bookkeeping sync"
  • Source/test files staged or modified: commit them with a descriptive message covering what changed.
    bash
    1git add <files> && git commit -m "chore: pre-engage cleanup — <description>"
  • Untracked files in .claude/skills/ or .paircoder/: stage and include in the commit.
  • Untracked source files: ask the user before staging.

3. Drop Stale Auto-Stashes

bash
1git stash list

Auto-stash before containment checkpoint entries accumulate across sessions and are never restored. Drop all of them without asking — they are machine-generated, not user work.

bash
1# Drop from highest index to lowest to avoid index shifting 2git stash drop stash@{N}

If non-auto stashes exist (user-created WIP on ... entries), leave them alone.

4. Validate Target Branch

Derive branch from backlog filename: engage/{backlog-stem}.

bash
1git branch --list 'engage/<backlog-stem>'
  • Already on it: no action needed.
  • Exists, different branch: tree must be clean (step 2 handles this).
  • Doesn't exist: engage will create it.

5. Validate Backlog File

bash
1ls -la <backlog-path>

Must exist and be non-empty. If missing, check plans/backlogs/ for similar names and suggest corrections.

6. Gate Check

bash
1bpsai-pair status

Look for license errors, config issues, or blocked state. Report any blockers to the user.

7. Dry-Run Validation

Once all issues are fixed, run the dry-run to confirm the backlog parses correctly:

bash
1bpsai-pair engage <backlog-path> --dry-run
  • If it passes: proceed to step 8.
  • If it fails: diagnose the error (usually backlog formatting), fix it, and re-run until it passes.

8. Output the Engage Command

Once the dry-run passes, end the response with the command:

Ready to engage:

  bpsai-pair engage <backlog-path>

This is mandatory. The engage command must always be the last thing in the response.

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