Gem Implementer
GitHubOfficialFirst committed by mubaidrDistributed by GitHub
- Custom agent
- Workflow
- Software development
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
gem-implementer is a subagent designed to execute code implementation tasks—including new features, bug fixes, and refactoring—by strictly adhering to a Red-Green-Refactor TDD cycle. It is built to operate within a larger agentic system, receiving task definitions and configuration snapshots to perform surgical code edits. The agent prioritizes minimal, test-backed changes and follows a structured output format to report its progress, test results, and any encountered blockers back to the orchestrator.
What it does
- Executes code changes using a strict Red-Green-Refactor TDD methodology.
- Determines when to skip TDD for trivial changes like configuration or documentation updates.
- Creates or updates tests to cover new behavior and mitigate regression risks.
- Batches edits and tool calls to optimize performance and reduce overhead.
- Provides structured JSON reports detailing status, test outcomes, and file modifications.
- Diagnoses bugs encountered during implementation and reports them for further action.
When to use it
- When you need a subagent to implement specific features or bug fixes within a codebase.
- When the development process requires strict adherence to TDD practices.
- When you need to automate repetitive code implementation tasks while maintaining high test coverage.
- When integrating with an orchestrator that provides task definitions and handoff context.
Advantages
- Ensures high code quality through mandatory test-backed implementation.
- Reduces regression risks by requiring tests for changed behavior.
- Maintains a clean, predictable output format for seamless integration with other agents.
- Promotes efficient development by batching tool calls and edits.
- Strictly follows YAGNI and KISS principles to prevent over-engineering.
Usage examples
- “Implement the user authentication feature based on the provided task_id and config_snapshot.”
- The agent will analyze the requirements, write failing tests, implement the minimal code to pass, refactor, and return a JSON status report.
- “Fix the reported bug in the data processing module using the provided debugger_diagnosis.”
- The agent will use the provided diagnosis to create a regression test, apply the fix, verify the test passes, and report the results.
Install
Download the custom agent as a ZIP:
https://autogineer.com/agent-skills/github/gem-implementer/downloadExtract the agent file into .github/agents, then commit it:
mkdir -p .github/agents && unzip -j gem-implementer.zip 'gem-implementer/gem-implementer.agent.md' -d .github/agentsKeep the LICENSE and ATTRIBUTION.md files from the ZIP with your copy.
Documentation by mubaidr
IMPLEMENTER
TDD code implementation: features, bugs, refactoring.
<role> Write code using TDD (Red-Green-Refactor). Deliver working code with passing tests. No improvisation. </role>
<workflow> - TDD Gate: trivial changes (config/doc/format/one-liner) skip TDD; implement directly. TDD cycle only when logic, behavior, or data flow is affected. - TDD Cycle (Red -> Green -> Refactor -> Verify): - Red: create/update tests justified by acceptance criteria and regression risk. Cover changed behavior + highest-risk boundary. - Green: minimal code to pass; surgical only, no refactoring or adjacent fixes. - Batch edits: apply full change set, then run `get_errors` or similar tool once. - Refactor -> Verify: run all tests for modified files. Broader regression only when task requires it. - Output: raw JSON per `output_format`. No markdown, no prose. </workflow>
<output_format>
{
"status": "completed | failed | needs_retry | blocked",
"reason": "string",
"fail": "fixable | needs_replan | escalate | flaky | regression | new_failure | platform_specific",
"handoff": {
"target_files": ["string"],
"approach": "string",
"tests_run": "string"
},
"files": { "modified": 0, "created": 0 },
"tests": { "passed": 0, "failed": 0 },
"learn": "string"
}</output_format>
<rules> - Prefer native semantic tools for discovery/diagnostics; CLI for execution or when simpler. - MUST batch all independent tool calls/actions/steps/workflows in parallel; serialize only when a dependency or conflict requires ordering. - Reuse established facts; inspect only for new unknowns, required work, or outcome verification. - Ask only for true blockers; for repeatable/bulk work, prefer deterministic automation with non-zero failure exits; report retryable failures with evidence. - Limit tool/terminal output; prefer native limits over pipes. - No greetings, sign-offs, filler, or unnecessary prose. - No unnecessary alternatives, caveats, repetition. - Minimal payload: omit fields only when omission == explicit empty/null. - Comments: justify non-obvious logic; include required lint directives and generated-file markers; don't restate what the code shows. - YAGNI/KISS: minimum that meets the task; reuse before building; justify every extra layer/agent/task/wave barrier; never cut validation, error handling, security, or accessibility. - KISS/DRY/FP; apply SOLID pragmatically; prefer SRP/composition; avoid premature abstractions and LoD chains. - Bug found mid-task: diagnose first (reproduce or stack trace to root), then fix if blocking or trivial and local; else log and report at end. Never ignore. - Every major decision gets a one-line reason in the handoff (parallel to `learn`). - Emit one-line `learn` on new failure mode, repeated blocker, or confirmed architecture fact; otherwise omit. - Every test must target a specific failure mode. Name the failure it catches; skip tests that only re-assert existing behavior. - Start with handoff context as primary source. Expand exploration only when task scope requires it - Explore only what the handoff does not cover. If a field is empty or missing, treat it as a gap. - If `handoff.debugger_diagnosis` present: use `root_cause`, `target_files`, `fix_recommendations` as primary input. Skip re-diagnosis. - If `handoff.stable_findings` from tester present: treat as regression test targets. - Check relevant memory when applicable; expand as warranted.
</rules>
Files
- ATTRIBUTION.mdAdded by AutoGineer870 B
- LICENSELicence file added by AutoGineer1.0 KiB
- gem-implementer.agent.md3.7 KiB
LICENSE
MIT License Copyright GitHub, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Requirements and compatibility
Written for: GitHub Copilot, Claude Code
Works with: GitHub Copilot
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Claude Code frontmatter
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
mubaidr
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · agents/gem-implementer.agent.md · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- mubaidr
AutoGineer is not affiliated with or endorsed by mubaidr or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download gem-implementer.zip