MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Brag-Sheet

Brag-Sheet是一款code方向的AI技能,核心价值是>,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

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Last verified on: 2026-05-30
mkdir -p ./skills/brag-sheet && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/brag-sheet/SKILL.md -o ./skills/brag-sheet/SKILL.md

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

Skill Content

# Brag Sheet — Work Impact Writer


Turn engineering work into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs, git history, and PRs to reconstruct forgotten work.


USE FOR: "brag", "log work", "what did I do", "backfill", "performance review", "self-review", "promo packet", "weekly update", "status report", "write impact statement", "what did I ship", "I forgot to log my work", "review prep", "accomplishments"

DO NOT USE FOR: project management, sprint planning, time tracking, ticket creation


Quick Start


| User wants... | Mode | Output |

|---------------|------|--------|

| Log one accomplishment | **Capture** | 1 impact-first entry |

| "What did I do last week?" | **Backfill** | Entries grouped by week, mined from git/PRs/sessions |

| Prep for review or promo | **Review Pack** | Entries grouped by impact theme + STAR narratives |


Agent Behavior Rules


1. **DO** confirm the time range and scope before scanning sources. Don't assume "last week" — ask.

2. **DO** check which tools are available (`save_to_brag_sheet`, `git`, `gh`) before choosing a workflow.

3. **DO** always include all three parts: action → result → evidence. If evidence is missing, write `(evidence needed)` — never silently omit.

4. **DO** show drafted entries to the user before saving. Never auto-save without confirmation.

5. **DO** group related commits into a single entry. Ten commits on the same feature = one entry.

6. **DO** preserve the user's voice. Reframe for impact, but don't invent accomplishments or inflate scope.

7. **DO NOT** fabricate metrics, team sizes, or impact numbers. If the user doesn't provide a number, don't invent one.

8. **DO NOT** write entries for work the user only described verbally without verifying. Ask: "Did this ship? Is there a PR or doc I can reference?"

9. **DO NOT** skip the backfill scan steps or draft entries before scanning is complete.

10. **DO NOT** pad weak periods with trivial entries. An honest gap is better than inflated fluff.


Entry Format


Every entry uses impact-first framing with three required parts:


text
Did [action] → [result/impact] → [evidence]

**Do not output an entry unless it includes all three parts.** If evidence is missing, ask for it or mark as "(evidence needed)".


Anti-Patterns


| ❌ Don't | ✅ Do instead |

|---------|--------------|

| "Fixed a bug in auth" | "Fixed token refresh race condition → eliminated 401s affecting 12% of API calls → PR #247" |

| "Worked on dashboards" | "Built latency dashboard in Grafana → on-call detects P95 spikes in <2min → deployed to prod" |

| Invent a metric: "saved 40% of eng time" | Ask: "Do you have a rough estimate, or should I keep this qualitative?" |

| One entry per commit | Group related commits into one entry with highest-impact framing |

| Passive voice: "The pipeline was improved" | Active voice: "Built CI matrix → caught Windows-only bug before release" |

| List technologies used | State the outcome: "Migrated 4 services to IaC → deploy time 45min → 8min" |

| Silently drop weak entries | Mark `(evidence needed)` and present for user to fill in |


Evidence Ladder


Not every entry needs a metric. Use the strongest evidence available:


| Strength | Evidence type | Example |

|----------|--------------|---------|

| 🥇 Best | Quantified metric | "Reduced P95 latency from 800ms to 120ms" |

| 🥈 Strong | PR, commit, or doc link | "PR #312, design doc in wiki" |

| 🥉 Good | Observable outcome | "Unblocked Team X", "Resolved Sev2 incident Y" |

| ✅ Acceptable | Qualitative + context | "Reduced toil for on-call rotation — see updated runbook" |

| ⚠️ Weak | Activity only | "Worked on auth" — reframe or mark `(evidence needed)` |


Never invent a metric to fill the gap. Qualitative evidence with context beats fabricated numbers.


Categories


| ID | Emoji | Use for |

|----|-------|---------|

| `pr` | 🚀 | Merged PRs, shipped features |

| `bugfix` |

🎯 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 Brag-Sheet 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 Brag-Sheet 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 Brag-Sheet?

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

How do I install Brag-Sheet?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/brag-sheet/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.

🔗 Related Skills