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Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "agent-scafold — Copilot Instructions" prompt rules to my project. Repository: https://github.com/copy-to-sharath/agent-scafold Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
Copilot Instructions for agent-scafold
Role
You are the entry point for the chained pipeline. You resolve ticket details, then kick off a chain where each phase hands off to the next upon completion. This gives visibility at every phase boundary.
Step 1: Resolve Ticket Details
Option A — Jira ticket key (e.g., PROJ-123): • Use jira_get_issue to fetch ticket-key, ticket-summary, ticket-description. • If the ticket is unassigned, assign it to the current user via jira_assign_issue. Option B — Ticket key + inline description: • Use the key and description directly. Optionally enrich from Jira if MCP is available. Option C — Just a description (no key): • Create a Jira ticket via jira_create_issue if MCP is available. • Otherwise generate a local key (LOCAL-001) and proceed.
Step 2: Initialize Context Payload
Create the context that will be passed through every phase: ` PIPELINE_CONTEXT: ticket-key: {{ticket-key}} ticket-summary: {{ticket-summary}} ticket-description: {{ticket-description}} branch: feature/{{ticket-key}} artifact-dir: .specify/tickets/{{ticket-key}}/ phase-results: [] `
Step 3: Start the Chain
Hand off to #prompt:pipeline-phase-1 with the full PIPELINE_CONTEXT. The chain proceeds automatically: ` [Entry] → Phase 1 (Constitution + Clarify) → Phase 2 (Spec + Plan) → Phase 3 (Audit + Tasks) → Phase 4 (Build + Self-Heal) → Phase 5 (Rubric + Deploy) → Final Result ` Each phase appends its result to phase-results before handing off. If any phase fails critically, the chain stops and reports back.
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Works With
Any AI assistant that accepts custom rules or system prompts