원클릭으로 Manus에서 모든 스킬 실행

sprang

스타1

포크1

업데이트2026년 6월 17일 18:05

Build or refresh the Sprang knowledge graph for this workspace. Use when the user says "/sprang", "build the knowledge graph", "scan the codebase", "index this project", or "run sprang".

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

FavioVazquez

FavioVazquez/sprang

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

관련 직업SOC

SOC 직업 분류 기준

소프트웨어 개발자컴퓨터 및 수학직·SOC 15-1252

SKILL.md

readonly

name	sprang
description	Build or refresh the Sprang knowledge graph for this workspace. Use when the user says "/sprang", "build the knowledge graph", "scan the codebase", "index this project", or "run sprang".

Check if .sprang/knowledge-graph.json exists — note its generated_at, phase, and kind (codebase or knowledge).
Detect what to analyze:
- If the target directory has source code (.ts, .py, .go, .rs, etc.) → run /sprang-analyze for full LLM-driven codebase analysis.
- If it contains primarily markdown notes (.md, Obsidian vault, Logseq, Zettelkasten) → run /sprang-knowledge for note graph analysis.
- If both → ask the user which they want.
For codebase: run npx @faviovazquez/sprang scan $ARGUMENTS (use cwd if no args) to produce the skeleton graph (<60s), then follow /sprang-analyze for full enrichment.
For knowledge base: follow /sprang-knowledge directly — no CLI prerequisite needed.
Read .sprang/SPRANG_REPORT.md and display key findings.
Report: nodes created, edges, top insights, smells detected (codebase) or top connected notes (knowledge).
Suggest next steps: /sprang-onboard (codebase tour), /sprang-chat (ask questions), /sprang-diff (blast radius before commits), or open dashboard with pnpm --filter @sprang/dashboard dev.

이 저장소의 다른 Skills

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sprang-analyze

FavioVazquez/sprang

Analyze a codebase to produce a rich semantic knowledge graph — file summaries, architecture layers, guided tour, domain map, risk scores. Use when the user says "/sprang-analyze", "analyze the codebase", "full analysis", or "run sprang-analyze".

Build or refresh the Sprang knowledge graph for this workspace. Use when the user says "/sprang", "build the knowledge graph", "scan the codebase", "index this project", or "run sprang".

2026-06-171

sprang-onboard

FavioVazquez/sprang

Guided architecture tour for new team members — adapts to junior, senior, or PM persona. Use when the user says "/sprang-onboard", "onboard me", "give me a tour", "I'm new to this codebase", or "walk me through the architecture".

2026-06-081

sprang-team

FavioVazquez/sprang

Browse and write team annotations attached to graph nodes — institutional knowledge, decision history, ownership. Use when the user says "/sprang-team", "add annotation", "team knowledge", "who owns this", or "document this decision".

2026-06-081

sprang-health

FavioVazquez/sprang

Full structural health report — health grade, code smells, security issues, risk nodes, orphans, circular dependencies. Use when the user says "/sprang-health", "health report", "code smells", "show risks", "what's broken", "security issues", or "architectural health".

2026-06-081

name	sprang
description	Build or refresh the Sprang knowledge graph for this workspace. Use when the user says "/sprang", "build the knowledge graph", "scan the codebase", "index this project", or "run sprang".

Check if .sprang/knowledge-graph.json exists — note its generated_at, phase, and kind (codebase or knowledge).
Detect what to analyze:
- If the target directory has source code (.ts, .py, .go, .rs, etc.) → run /sprang-analyze for full LLM-driven codebase analysis.
- If it contains primarily markdown notes (.md, Obsidian vault, Logseq, Zettelkasten) → run /sprang-knowledge for note graph analysis.
- If both → ask the user which they want.
For codebase: run npx @faviovazquez/sprang scan $ARGUMENTS (use cwd if no args) to produce the skeleton graph (<60s), then follow /sprang-analyze for full enrichment.
For knowledge base: follow /sprang-knowledge directly — no CLI prerequisite needed.
Read .sprang/SPRANG_REPORT.md and display key findings.
Report: nodes created, edges, top insights, smells detected (codebase) or top connected notes (knowledge).
Suggest next steps: /sprang-onboard (codebase tour), /sprang-chat (ask questions), /sprang-diff (blast radius before commits), or open dashboard with pnpm --filter @sprang/dashboard dev.