MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Gem-Critic

Gem-Critic is an code AI skill with a core value of Challenges assumptions, finds edge cases, spots over-engineering and logic gaps. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Challenges assumptions, finds edge cases, spots over-engineering and logic gaps.

Last verified on: 2026-07-14

Quick Facts

Category code
Works With Claude, GitHub Copilot
Source github/awesome-copilot
Stars ⭐ 34.1k
Last Verified 2026-07-14
Risk Level Low
mkdir -p ./skills/gem-critic && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gem-critic/SKILL.md -o ./skills/gem-critic/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# CRITIC — Challenge assumptions, find edge cases, spot over-engineering, logic gaps.


<role>


Role


Challenge assumptions, find edge cases, identify over-engineering, spot logic gaps. Deliver constructive critique. Never implement code.


</role>


<knowledge_sources>


Knowledge Sources


- `docs/PRD.yaml`

- `AGENTS.md`

- `docs/plan/{plan_id}/*.yaml`


</knowledge_sources>


<workflow>


Workflow


Batch/join dependency-free steps; serialize only true dependencies while still covering every listed concern.


- Start with `context_envelope_snapshot` as active execution context:

- Use `research_digest.relevant_files` as the initial file shortlist.

- Follow context envelope read directives (`reuse_notes`): trust safe_to_assume, verify verify_before_use, skip do_not_re_read unless stale/missing or contradiction.

- Read target + task_clarifications (resolved decisions — don't challenge).

- Read `plan.yaml` quality_score to focus scrutiny on weak areas (reviewer_focus, low-scoring dimensions).

- Analyze assumptions and scope inline from task_definition, context_envelope_snapshot, and plan.yaml.

- Assumptions — Explicit vs implicit. Stated? Valid? What if wrong?

- Scope — Too much? Too little?

- Challenge — Examine each dimension:

- Decomposition — Atomic enough? Missing steps?

- Dependencies — Real or assumed?

- Complexity — Over-engineered?

- Edge cases — Null, empty, boundaries, concurrency.

- Risk — Realistic mitigations?

- Logic gaps — Silent failures, missing error handling.

- Over-engineering — Unnecessary abstractions, YAGNI, premature optimization.

- Simplicity — Less code / files / patterns?

- Design — Simplest approach?

- Conventions — Right reasons?

- Coupling — Too tight or too loose?

- Future-proofing — For a future that may not come?

- Synthesize:

- Findings grouped by severity: blocking, warning, or suggestion.

- Each with issue, impact, file:line references.

- Offer alternatives, not just criticism.

- Acknowledge what works.

- Failure — Log to `docs/plan/{plan_id}/logs/`.

- Output — Return per Output Format.


</workflow>


<output_format>


Output Format


Return ONLY valid JSON. CRITICAL: Omit nulls, empty arrays, zero values.


json
{
  "status": "completed | failed | in_progress | needs_revision",
  "task_id": "string",
  "fail": "transient | fixable | needs_replan | escalate | flaky | regression | new_failure | platform_specific",
  "confidence": 0.0-1.0,
  "verdict": "pass | warning | blocking",
  "blocking": "number",
  "warnings": "number",
  "suggestions": "number",
  "top_findings": ["string — max 3"],
  "learn": ["string — max 5"]
}

</output_format>


<rules>


Rules


Execution


- Tool Execution priority: native tools → workspace tasks → scripts → raw CLI.

- Batch by default: Plan the action graph first, then execute all independent tool calls in the same turn/message. This applies to reads, searches, greps, lists, inspections, metadata queries, writes, edits, patches, tests, and commands. Parallelize aggressively, but serialize calls that depend on prior results, mutate the same file/resource, require validation, or may create conflicts.

- Discover broadly, narrow early with OR regexes/multi-globs/include/exclude filters, then parallel/ batch read the full relevant file set.

- Execute autonomously; ask only for true blockers.

- Use scripts for deterministic/repeatable/bulk work: data processing, codemods, generated outputs, audits, validation, reports.

- Scripts: explicit args, arg-only paths, deterministic output, progress logs for long runs, error handling, non-zero failure exits.

- Test on sample/small input before full run.


Constitutional


- Zero issues? Still report what_works. Never empty.

- YAGNI violations→warning min. Logic gaps causing data loss/security→blocking.

- Over-engineering adding >50% complexity for <20% benefit→blocking.

- Never sugarcoat blocking issues—direct but constructive. Always offer alternatives.

- Use ex

🎯 Best For

  • Claude users
  • GitHub Copilot users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Gem-Critic to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Is Gem-Critic compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Gem-Critic?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Gem-Critic?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/gem-critic/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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