mcpbeat Sign in

Create Implementation Plan Agent Skill

Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
37394
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/github/awesome-copilot --skill create-implementation-plan

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting
Grep reads your files

The instruction itself

12 sections, as written by the author

Create Implementation Plan

Primary Directive

Your goal is to create a new implementation plan file for ${input:PlanPurpose}. Your output must be machine-readable, deterministic, and structured for autonomous execution by other AI systems or humans.

Execution Context

This prompt is designed for AI-to-AI communication and automated processing. All instructions must be interpreted literally and executed systematically without human interpretation or clarification.

Core Requirements

  • Generate implementation plans that are fully executable by AI agents or humans
  • Use deterministic language with zero ambiguity
  • Structure all content for automated parsing and execution
  • Ensure complete self-containment with no external dependencies for understanding

Plan Structure Requirements

Plans must consist of discrete, atomic phases containing executable tasks. Each phase must be independently processable by AI agents or humans without cross-phase dependencies unless explicitly declared.

Phase Architecture

  • Each phase must have measurable completion criteria
  • Tasks within phases must be executable in parallel unless dependencies are specified
  • All task descriptions must include specific file paths, function names, and exact implementation details
  • No task should require human interpretation or decision-making

AI-Optimized Implementation Standards

  • Use explicit, unambiguous language with zero interpretation required
  • Structure all content as machine-parseable formats (tables, lists, structured data)
  • Include specific file paths, line numbers, and exact code references where applicable
  • Define all variables, constants, and configuration values explicitly
  • Provide complete context within each task description
  • Use standardized prefixes for all identifiers (REQ-, TASK-, etc.)
  • Include validation criteria that can be automatically verified

Output File Specifications

  • Save implementation plan files in /plan/ directory
  • Use naming convention: [purpose]-[component]-[version].md
  • Purpose prefixes: upgrade|refactor|feature|data|infrastructure|process|architecture|design
  • Example: upgrade-system-command-4.md, feature-auth-module-1.md
  • File must be valid Markdown with proper front matter structure

Mandatory Template Structure

All implementation plans must strictly adhere to the following template. Each section is required and must be populated with specific, actionable content. AI agents must validate template compliance before execution.

Template Validation Rules

  • All front matter fields must be present and properly formatted
  • All section headers must match exactly (case-sensitive)
  • All identifier prefixes must follow the specified format
  • Tables must include all required columns
  • No placeholder text may remain in the final output
  • Identifiers must be uniquely declared. Every identifier (REQ-NNN, SEC-NNN, CON-NNN, GUD-NNN, PAT-NNN, GOAL-NNN, TASK-NNN, ALT-NNN, DEP-NNN, FILE-NNN, TEST-NNN, RISK-NNN, ASSUMPTION-NNN) must be declared exactly once. A declaration is where the identifier introduces a row: the leading cell in a TASK/GOAL table row, or the bolded prefix in a bullet line like - REQ-001: .... The same identifier may then appear any number of times as a reference elsewhere in the plan (a TASK body citing a REQ, one TASK citing another TASK, the Dependencies section pointing at a DEP already declared upstream, etc.). References are expected and not collisions.

Identifier Uniqueness Check

Run these checks before finalizing the plan. Checks (1) and (2) target declarations and must return zero rows. Check (3) is a broad informational scan: it will surface valid references too, so use it for awareness rather than as a gate.

# Set PLAN_FILE to the plan being validated.
PLAN_FILE="/plan/<purpose>-<component>-<version>.md"

# 1) Duplicate TASK / GOAL declarations in table rows.
grep -oE '\| (TASK|GOAL)-[0-9]+ \|' "$PLAN_FILE" \
  | sed -E 's/.*((TASK|GOAL)-[0-9]+).*/\1/' \
  | sort | uniq -d

# 2) Duplicate declaration IDs in bullet-style spec lines.
grep -oE '^- \*\*(REQ|SEC|CON|GUD|RISK|ASSUMPTION|TASK|GOAL|FILE|TEST|PAT|ALT|DEP)-[0-9]+\*\*:' "$PLAN_FILE" \
  | sed -E 's/^- \*\*([A-Z]+-[0-9]+)\*\*:.*/\1/' \
  | sort | uniq -d

# 3) Broad duplicate scan (diagnostic only; may include valid references).
grep -oE '(REQ|SEC|CON|GUD|RISK|ASSUMPTION|TASK|GOAL|FILE|TEST|PAT|ALT|DEP)-[0-9]+' "$PLAN_FILE" \
  | sort | uniq -d

Prerequisites: a POSIX-compatible shell (sh / bash) with grep, sed, sort, and uniq. On Windows without these tools, use equivalent platform-native commands and preserve the same declaration-vs-reference logic.

If check (1) or (2) returns any row, re-number the duplicate so each identifier is declared exactly once, then re-run the checks until both are empty.

Status

The status of the implementation plan must be clearly defined in the front matter and must reflect the current state of the plan. The status can be one of the following (status_color in brackets): Completed (bright green badge), In progress (yellow badge), Planned (blue badge), Deprecated (red badge), or On Hold (orange badge). It should also be displayed as a badge in the introduction section.

---
goal: [Concise Title Describing the Package Implementation Plan's Goal]
version: [Optional: e.g., 1.0, Date]
date_created: [YYYY-MM-DD]
last_updated: [Optional: YYYY-MM-DD]
owner: [Optional: Team/Individual responsible for this spec]
status: 'Completed'|'In progress'|'Planned'|'Deprecated'|'On Hold'
tags: [Optional: List of relevant tags or categories, e.g., `feature`, `upgrade`, `chore`, `architecture`, `migration`, `bug` etc]
---

# Introduction

![Status: <status>](https://img.shields.io/badge/status-<status>-<status_color>)

[A short concise introduction to the plan and the goal it is intended to achieve.]

## 1. Requirements & Constraints

[Explicitly list all requirements & constraints that affect the plan and constrain how it is implemented. Use bullet points or tables for clarity.]

- **REQ-001**: Requirement 1
- **SEC-001**: Security Requirement 1
- **[3 LETTERS]-001**: Other Requirement 1
- **CON-001**: Constraint 1
- **GUD-001**: Guideline 1
- **PAT-001**: Pattern to follow 1

## 2. Implementation Steps

### Implementation Phase 1

- GOAL-001: [Describe the goal of this phase, e.g., "Implement feature X", "Refactor module Y", etc.]

| Task | Description | Completed | Date |
|------|-------------|-----------|------|
| TASK-001 | Description of task 1 | ✅ | 2025-04-25 |
| TASK-002 | Description of task 2 | |  |
| TASK-003 | Description of task 3 | |  |

### Implementation Phase 2

- GOAL-002: [Describe the goal of this phase, e.g., "Implement feature X", "Refactor module Y", etc.]

| Task | Description | Completed | Date |
|------|-------------|-----------|------|
| TASK-004 | Description of task 4 | |  |
| TASK-005 | Description of task 5 | |  |
| TASK-006 | Description of task 6 | |  |

## 3. Alternatives

[A bullet point list of any alternative approaches that were considered and why they were not chosen. This helps to provide context and rationale for the chosen approach.]

- **ALT-001**: Alternative approach 1
- **ALT-002**: Alternative approach 2

## 4. Dependencies

[List any dependencies that need to be addressed, such as libraries, frameworks, or other components that the plan relies on.]

- **DEP-001**: Dependency 1
- **DEP-002**: Dependency 2

## 5. Files

[List the files that will be affected by the feature or refactoring task.]

- **FILE-001**: Description of file 1
- **FILE-002**: Description of file 2

## 6. Testing

[List the tests that need to be implemented to verify the feature or refactoring task.]

- **TEST-001**: Description of test 1
- **TEST-002**: Description of test 2

## 7. Risks & Assumptions

[List any risks or assumptions related to the implementation of the plan.]

- **RISK-001**: Risk 1
- **ASSUMPTION-001**: Assumption 1

## 8. Related Specifications / Further Reading

[Link to related spec 1]
[Link to relevant external documentation]

Other skills for the same job

different authors, same section of the catalogue
Fresh Eyes Review
by ComeOnOliver
×1

This skill should be used as a mandatory final sanity check before git commit, PR creation, or declaring work done. Triggers on "commit", "push", "PR", "pull request", "done", "finished", "complete", "ship", "deploy", "ready to merge". Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests.

4k tokens
Style Audit
by ComeOnOliver
×1

Audits code against CI/CD style rules, quality guidelines, and best practices, then rewrites code to meet standards without breaking functionality. Use this skill after functionality validation to ensure code is not just correct but also maintainable, readable, and production-ready. The skill applies linting rules, enforces naming conventions, improves code organization, and refactors for clarity while preserving all behavioral correctness verified by functionality audits.

10k tokens
Mcore Cicd
by NVIDIA
vendor

CI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request/BRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.

4k tokens
Sarif Parsing
by trailofbits

>- Parses and processes SARIF files from static analysis tools like CodeQL, Semgrep, or other scanners. Triggers on "parse sarif", "read scan results", "aggregate findings", "deduplicate alerts", or "process sarif output". Handles filtering, deduplication, format conversion, and CI/CD integration of SARIF data. Does NOT run scans — use the Semgrep or CodeQL skills for that.

8k tokens scripts
Tactical Ddd
by tech-leads-club

Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decomposition, strategic DDD context mapping, or code outside the domain layer (DTOs, controllers, infrastructure adapters).

5k tokens
Ios Redteam Pipeline
by elementalsouls

End-to-end iOS red-team pipeline — IPA acquisition (App Store extraction, TestFlight, enterprise/ad-hoc sideload), class-dump/Hopper/Ghidra static analysis, Info.plist + entitlements + Keychain secret extraction, App Transport Security (ATS) misconfig + certificate-pinning bypass (frida-ios-dump, objection, SSL Kill Switch 2), URL-scheme / Universal Link hijack, exported-service enumeration, Frida runtime instrumentation. Companion to apk-redteam-pipeline for the iOS side of a mobile app catalogue. Use when target has an iOS app (App Store listing, TestFlight link, enterprise MDM distribution), when an IPA URL is found hosted on a web server, or when post-recon mentions "iOS app" / "mobile app" in scope alongside an Apple developer account.

4k tokens
Kql Validator
by Azure

Validate KQL (Kusto Query Language) files used in Azure Quick Review (azqr) against their recommendation definitions. Use when the user wants to validate KQL syntax, check semantic alignment with recommendations, verify property names against Azure REST API schemas, or audit KQL queries before a pull request. WHEN: "validate kql", "check kql files", "kql syntax error", "validate aks kql", "run kql validator", "validate azure resource graph queries", "check recommendations alignment", "validate kql for <service>".

8k tokens
Refactor Module
by hashicorp
vendor

Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.

3k tokens

How to use it

Copy the folder

Take github/create-implementation-plan from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.