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implementing-code Skill

AI Agent SkillPythonOpen source

Executes a batch of implementation tasks with TDD workflow, source-anchored rewrite for behavioral fidelity, guideline-based code transformation, and full requirement tracing. Returns a structured batch report. Triggers: "implement tasks", "execute the batch", "write code for these tasks", "implement with source anchor Published by microsoft in github-copilot-modernization.

What is implementing-code Skill?

Executes a batch of implementation tasks with TDD workflow, source-anchored rewrite for behavioral fidelity, guideline-based code transformation, and full requirement tracing. Returns a structured batch report. Triggers: "implement tasks", "execute the batch", "write code for these tasks", "implement with source anchor Published by microsoft in github-copilot-modernization. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
36/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Writing
  • Writing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use implementing-code Skill

  • Use it for writing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/github-copilot-modernization
  • Skill file: plugins/github-copilot-modernization/skills/implementing-code/SKILL.md

What it does

Executes a batch of implementation tasks with TDD workflow, source-anchored rewrite for behavioral fidelity, guideline-based code transformation, and full requirement tracing. Returns a structured batch report. Triggers: "implement tasks", "execute the batch", "write code for these tasks", "implement with source anchor

Skill instructions

User Input You MUST consider the user input before proceeding (if not empty). Output Code files are written into the project tree. The batch report is written under the provided artifact path. batch-report.yaml ← structured result consumed by caller Workflow Step 1: Verify Prerequisites (first batch only) Confirm required artifacts exist: plan.md (with task list and Requirement Mapping table), feature spec. Step 2: Load Context Read from the provided artifact path and dependency artifacts. Scan the artifact directory to find these categories: | Category | Required | Purpose | Look for | |----------|----------|---------|----------| | Task breakdown | ✅ | Work items with T-IDs to implement | Artifact with task IDs (T001, T002...), may be in tasks/ subdirectory or main planning artifact | | Feature spec | ✅ | Requirements (REQ-XXX) and acceptance criteria | Artifact with REQ-XXX identifiers and user scenarios | | Constitution | ✅ | Project principles and constraints | Usually named consti

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Frequently asked questions

What is implementing-code?

implementing-code is a open-source AI agent skill with Copy skill directory. Executes a batch of implementation tasks with TDD workflow, source-anchored rewrite for behavioral fidelity, guideline-based code transformation, and full requirement tracing.

Who is implementing-code best for?

implementing-code is best for reusing agent instructions, scripts, and references, writing workflows.

How do I install implementing-code?

Install or run implementing-code using Copy skill directory. Check implementing-code for the latest setup command.

Is implementing-code actively maintained?

implementing-code may need a closer maintenance check before production use.

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Stars
27
Forks
7
Last commit
1 month ago
Repository age
6 months
License
MIT

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