implement — for Claude Code implement, community, for Claude Code, ide skills, blue-team, cyber-range, cybersecurity, cybersecurity-tools, infosec, offensive-security

v1.0.0

Über diesen Skill

Geeigneter Einsatz: Perfect for Code Analysis Agents needing comprehensive content assessment and GitHub issue management capabilities. Lokalisierte Zusammenfassung: Use the gc get requirement MCP tool with uid GC-$ARGUMENTS to fetch the requirement details. It covers agents, blue-team, cyber-range workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Funktionen

Implement Requirement: $ARGUMENTS
Step 1: Fetch Requirement and Ensure GitHub Issue Exists
If NO GitHub issue link exists:
Use the gc create github issue MCP tool with uid $ARGUMENTS to create a GitHub issue and auto-link
If a GitHub issue link DOES exist, note the issue number from the artifact identifier.

# Core Topics

Brad-Edwards Brad-Edwards
[12]
[6]
Updated: 3/30/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

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
Review Score
8/11
Quality Score
18
Canonical Locale
en
Detected Body Locale
en

Geeigneter Einsatz: Perfect for Code Analysis Agents needing comprehensive content assessment and GitHub issue management capabilities. Lokalisierte Zusammenfassung: Use the gc get requirement MCP tool with uid GC-$ARGUMENTS to fetch the requirement details. It covers agents, blue-team, cyber-range workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Warum diese Fähigkeit verwenden

Empfehlung: Empowers agents to implement SOC-in-a-Box for purple teaming, enhancing cybersecurity through automated GitHub issue management and codebase assessment using MCP tools like gc_get_requirement and gc_create_github_issue, while respecting coding standards and classification levels in

Am besten geeignet für

Geeigneter Einsatz: Perfect for Code Analysis Agents needing comprehensive content assessment and GitHub issue management capabilities.

Handlungsfähige Anwendungsfälle for implement

Anwendungsfall: Automating GitHub issue creation and linking for new requirements
Anwendungsfall: Assessing codebase coverage for existing requirements
Anwendungsfall: Planning implementation details for unsatisfied requirements

! Sicherheit & Einschränkungen

  • Einschraenkung: Requires MCP tools like gc_get_requirement and gc_create_github_issue
  • Einschraenkung: Needs GitHub access and issue management permissions
  • Einschraenkung: Must adhere to coding standards and classification levels in ADR-012

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

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

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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 implement?

Geeigneter Einsatz: Perfect for Code Analysis Agents needing comprehensive content assessment and GitHub issue management capabilities. Lokalisierte Zusammenfassung: Use the gc get requirement MCP tool with uid GC-$ARGUMENTS to fetch the requirement details. It covers agents, blue-team, cyber-range workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install implement?

Run the command: npx killer-skills add Brad-Edwards/aptl/implement. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for implement?

Key use cases include: Anwendungsfall: Automating GitHub issue creation and linking for new requirements, Anwendungsfall: Assessing codebase coverage for existing requirements, Anwendungsfall: Planning implementation details for unsatisfied requirements.

Which IDEs are compatible with implement?

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 implement?

Einschraenkung: Requires MCP tools like gc_get_requirement and gc_create_github_issue. Einschraenkung: Needs GitHub access and issue management permissions. Einschraenkung: Must adhere to coding standards and classification levels in ADR-012.

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 Brad-Edwards/aptl/implement. 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 implement 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

implement

Install implement, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

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

Implement Requirement: $ARGUMENTS

Step 1: Fetch Requirement and Ensure GitHub Issue Exists

  1. Enter plan mode.

  2. Use the gc_get_requirement MCP tool with uid GC-$ARGUMENTS to fetch the requirement details. Note the requirement's UUID, title, statement, status, and wave.

  3. Use the gc_get_traceability MCP tool with the requirement's UUID to check for existing traceability links. Look for a link with artifact_type GITHUB_ISSUE.

  4. If NO GitHub issue link exists:

    • Use the gc_create_github_issue MCP tool with uid $ARGUMENTS to create a GitHub issue and auto-link it.
  5. If a GitHub issue link DOES exist, note the issue number from the artifact_identifier.

  6. Run gh issue develop <issue-number> --checkout --base dev to switch to the issue branch.

Step 2: Read the GitHub Issue

Run gh issue view <issue-number> to read the full issue details including description, labels, and comments.

Step 3: Assess Codebase Coverage

Explore the codebase to determine whether the requirement described in the issue is already satisfied by existing code:

  • Search for relevant classes, methods, tests, and configurations
  • Check if the described behavior already exists
  • Review any existing traceability links (IMPLEMENTS, TESTS) from Step 1

Step 4: Plan or Report

  • If the requirement is NOT yet met: Plan the implementation. Identify which files need to be created or modified, what tests to write, and what approach to take. Enter plan mode.
  • Your plans must respect the coding standards and classification levels in ADR-012.
  • Plans must include updating the changelog, readme, and docs as appropriate.
  • If designing code, remember to build off existing cross-cutting concerns, code, and patterns
  • Good code is readable, maintainable, and follows the coding standards
  • Address the concerns a FAANG L6+ engineer would have around security, performance, reliability, and scalability
  • Avoid reinventing the wheel - use existing libraries and frameworks where appropriate
  • Code should be easy to understand, test, and maintain. Simple is better than complex.
  • If the requirement IS already met: Report that the requirement is satisfied and identify which code satisfies it.

Step 4.5: Clause-by-Clause Verification

Before declaring implementation complete:

  1. Re-read the requirement statement from Step 1.
  2. Break it into individual clauses and acceptance criteria.
  3. For EACH clause, identify the specific code (file:line) that satisfies it.
  4. If any clause is not satisfied, go back and implement it before proceeding.

Present the mapping as a checklist:

  • Clause: "..." → Satisfied by: file.java:line
  • Clause: "..." → Satisfied by: file.java:line

Do not proceed to Step 5 until every clause is checked off.

After implementation is complete (or if already implemented):

  • use the gc_create_traceability_link MCP tool to create any missing links:
    • IMPLEMENTS links from the requirement to the code files that implement it
    • TESTS links from the requirement to the test files that verify it
    • Only create links that don't already exist (check the traceability data from Step 1).
  • use the gc_transition_status MCP tool to transition the requirement to ACTIVE if it was DRAFT.

Do not update the Changelog if all you did was operate Ground Control tools.

Step 6: Completion Gate

Implementation is NOT complete until ALL of the following are verified:

  1. make check passes — run it and confirm BUILD SUCCESSFUL.
  2. CHANGELOG.md updated — verify it is in git diff --name-only if any source files changed.
  3. Traceability links exist — re-fetch with gc_get_traceability and confirm IMPLEMENTS and TESTS links are present.
  4. Requirement status is ACTIVE — re-fetch with gc_get_requirement and confirm status.
  5. Step 4.5 clause mapping was completed — if you skipped it, go back and do it now.

If any check fails, fix it before reporting completion. Do NOT report the implementation as done until every check passes.

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