SQL Optimization
github/awesome-copilot
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server…
정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. An agent skill from revfactory/harness-100.
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 scoring-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer .claude/skills/scoring-optimizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer into .claude/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 scoring-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer .agents/skills/scoring-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer into .agents/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 scoring-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer .cursor/skills/scoring-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer into .cursor/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/revfactory/harness-100.git --path ko/45-gov-funding-plan/.claude/skills/scoring-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 scoring-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer .gemini/skills/scoring-optimizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer into .gemini/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install revfactory/harness-100 scoring-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer .github/skills/scoring-optimizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer into .github/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill scoring-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 scoring-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer .opencode/skills/scoring-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scoring-optimizer" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/45-gov-funding-plan/.claude/skills/scoring-optimizer into .opencode/skills/scoring-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scoring-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scoring-optimizer정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. An agent skill from revfactory/harness-100.
Scoring Optimizer is an agent skill from revfactory/harness-100. 정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. '평가 배점 분석', '고득점 전략', '평가 기준 최적화', '심사 대비', '서류/발표 평가 준비' 등 정부과제 평가 대비 시 사용한다. 단, 심사위원 접촉, 실제 발표 대행은 이 스킬의 범위가 아니다.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scoring Optimizer loads about 644 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 75 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 75 words, ~644 tokens.
.claude/skills/scoring-optimizer/SKILL.md (or your agent's skills folder).tech-writer, biz-writer의 고득점 작성 전략을 강화하는 스킬.
고득점 전략:
1. 개발 목표를 정량 지표로 제시
BAD: "성능을 향상시킨다"
GOOD: "처리 속도 기존 대비 300% 향상 (100ms → 30ms)"
2. 기존 기술 대비 차별성 3가지 이상 제시
- 성능 차별성 (속도, 정확도)
- 방법론 차별성 (새로운 접근)
- 적용 범위 차별성 (확장성)
3. 핵심 기술 요소를 도식화
- 시스템 아키텍처 다이어그램
- 기술 로드맵 (단계별)
- 알고리즘 흐름도
4. 특허/논문 분석으로 기술 트렌드 제시고득점 전략:
1. WBS (Work Breakdown Structure) 상세화
- 단계 → 세부과제 → 세세부과제 3단계
- 마일스톤 명확 (Go/No-Go 기준)
2. 간트차트 필수 포함
- 월별 진도 계획
- 의존 관계 표시
- 크리티컬 패스 식별
3. 인력 투입 계획
- 역할별 M/M (Man-Month)
- 역량 매칭 (학위, 경력, 프로젝트)
4. 위험 관리 계획
- 기술적 리스크 3가지 + 대응 방안
- 일정 리스크 + 버퍼 계획고득점 전략:
1. 시장 규모 이중 검증 (상향식 + 하향식)
2. 국내+해외 시장 모두 기술
3. CAGR + 성장 동인 3가지
4. 목표 시장 세그먼트 구체화
5. 정부 정책 연계 (정책 키워드 반영)고득점 전략:
1. 사업화 로드맵 (기술개발 → 인허가 → 양산 → 판매)
2. 매출 계획 (3-5년, 보수적 시나리오 포함)
3. 판로 확보 방안 구체화 (LOI, 시범사업)
4. 수익 모델 + 가격 전략
5. 지식재산권 확보 계획 (특허, 인증)[ ] 평가 항목별 페이지 수가 배점에 비례하는가?
[ ] 모든 평가 항목에 대응하는 내용이 있는가?
[ ] 정량적 수치에 출처가 명시되어 있는가?
[ ] 도표/그림이 적절히 포함되어 있는가? (3-5개/10페이지)
[ ] 오탈자/문법 오류가 없는가?
[ ] 공고문의 핵심 키워드가 반영되어 있는가?
[ ] 제출 양식을 정확히 따르고 있는가?
[ ] 페이지 제한을 초과하지 않는가?
[ ] 참고문헌이 최근 3년 이내인가?
[ ] 연구 윤리/보안 관련 사항이 기재되어 있는가?1. 공고문에서 반복되는 키워드 추출
2. 평가 기준에 사용된 형용사/부사 수집
예: "혁신적", "차별화된", "구체적인"
3. 정책 키워드 매핑
예: "디지털 전환", "탄소중립", "초격차"
4. 사업계획서에 해당 키워드를 자연스럽게 반영
5. 키워드 출현 빈도 체크 (최소 3회 이상)| 평가 항목 | 배점 | 자가 점수 | 근거 | 개선 방향 |
|----------|------|----------|------|----------|
| 기술 개발 목표 | 20 | | | |
| 기술 차별성 | 15 | | | |
| 추진 체계 | 10 | | | |
| 시장성 | 15 | | | |
| 사업화 전략 | 15 | | | |
| 팀 역량 | 10 | | | |
| 예산 적정성 | 10 | | | |
| 정책 부합성 | 5 | | | |
| **합계** | **100** | | | |
통과 기준: 보통 60-70점 이상
경쟁력 기준: 80점 이상 목표시간 배분 (10분 발표 기준):
1분: 기업/팀 소개
2분: 문제 정의 + 기술 개발 목표
3분: 핵심 기술 + 차별성
2분: 시장성 + 사업화 전략
1분: 추진 일정 + 기대 효과
1분: 마무리 + Q&A 준비
Q&A 대비 TOP 5:
1. "기존 기술과 뭐가 다른가요?"
2. "시장 규모 근거가 무엇인가요?"
3. "팀에 부족한 역량은 어떻게 보완하나요?"
4. "예산 이 항목이 왜 필요한가요?"
5. "사업화 일정이 현실적인가요?"© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in ko/45-gov-funding-plan/.claude/skills/scoring-optimizer of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Scoring Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scoring Optimizer this skillrevfactory/harness-100 | 1.3k | — | ~644 | Automated safety check: Pass | Apache-2.0 | |
| SQL Optimizationgithub/awesome-copilot | 40k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Agent Performance Optimizerruvnet/ruflo | 74k | 2 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Database Optimizerdavila7/claude-code-templates | 32k | 7 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Prompt Optimizeraffaan-m/ECC | 274k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Cost Optimizeruvnet/ruflo | 74k | — | ~997 | Automated safety check: Notes | MIT |
github/awesome-copilot
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server…
ruvnet/ruflo
Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
davila7/claude-code-templates
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.
affaan-m/ECC
分析原始提示,识别意图和差距,匹配ECC组件(技能/命令/代理/钩子),并输出一个可直接粘贴的优化提示。仅提供咨询角色——绝不自行执行任务。触发时机:当用户说“优化提示”、“改进我的提示”、“如何编写提示”、“帮我优化这个指令”或明确要求提高提示质量时。中文等效表达同样触发:“优化prompt”、“改进prompt”、“怎么写prompt”、“帮我优化这个指令”。不触发时机:当用户希望直接执行任…
ruvnet/ruflo
Analyze token usage patterns and recommend cost optimizations with estimated savings
JuliusBrussee/caveman
Turns a Caveman report-only optimization observation into one minimal code change and a paired baseline evaluation, after the operator picks which to pursue.
revfactory/harness-100
A skill for analyzing website anti-bot defense mechanisms and developing legitimate evasion strategies.
revfactory/harness-100
Reference for designing how an API reports failures: structured error codes, response shapes, client-friendly messages, an error catalog and retry or fallback advice.
revfactory/harness-100
Walks a backend-dev agent through OWASP API Top 10 checks, authentication and authorization patterns, and defense code during API design.
revfactory/harness-100
Methodology for systematically designing and generating CLI tool argument parser structures.
revfactory/harness-100
Audience segmentation skill used by the analyst and curator agents.
revfactory/harness-100
Audio storytelling skill used by the podcast scriptwriter and show note editor.
정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론. An agent skill from revfactory/harness-100. Scoring Optimizer is an agent skill from revfactory/harness-100. 정부지원사업 평가 배점표를 분석하여 고득점 전략을 수립하는 방법론.
Run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a claude-code`. Or copy the skill folder (ko/45-gov-funding-plan/.claude/skills/scoring-optimizer in revfactory/harness-100) into .claude/skills/scoring-optimizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a codex`. Or copy the skill folder (ko/45-gov-funding-plan/.claude/skills/scoring-optimizer in revfactory/harness-100) into .agents/skills/scoring-optimizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill scoring-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scoring-optimizer, .gemini/skills/scoring-optimizer, .github/skills/scoring-optimizer and .opencode/skills/scoring-optimizer in your project.
SKILL.md names no scripts, command-line tools or credentials: Scoring Optimizer is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Scoring Optimizer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 644 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Scoring Optimizer: SQL Optimization (github/awesome-copilot, 40k stars), Agent Performance Optimizer (ruvnet/ruflo, 74k stars), Database Optimizer (davila7/claude-code-templates, 32k stars) and Prompt Optimizer (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.