Skill codebase-analysis
Menghasilkan laporan analisis codebase terstruktur yang mencakup ringkasan arsitektur, tech stack, file kritis, dan rekomendasi perbaikan yang dapat langsung diterapkan.
- Bintang GitHub
- 45
- File
- 3
- Commit terakhir
- 31 Mei 2026
- Lisensi
- MIT
- Tool yang diizinkan
- 15
Apa fungsi skill codebase-analysis?
codebase-analysis adalah agent skill. Menghasilkan laporan analisis codebase terstruktur yang mencakup ringkasan arsitektur, tech stack, file kritis, dan rekomendasi perbaikan yang dapat langsung diterapkan.
Ringkasan dibuat dari SKILL.md skill ini.
Tentang skill codebase-analysis
Developer yang ingin memahami proyek kompleks dapat menggunakan skill ini untuk menghasilkan laporan terstruktur yang mencakup arsitektur, technology stack, dan file kritis. Skill ini mengotomatiskan workflow tiga fase yang dimulai dengan analisis mendalam menggunakan agent explorer dan synthesizer khusus untuk memetakan codebase. Proses ini juga mencakup pengecekan hasil cache pada exploration-cache untuk menghemat waktu pada permintaan yang berulang.
Setelah analisis selesai, skill ini menghasilkan laporan mendetail yang menyertakan diagram Mermaid untuk pemetaan hubungan dan ringkasan teknis. Anda kemudian dapat memilih untuk menyimpan temuan ini sebagai file markdown, memperbarui dokumentasi proyek seperti README.md atau CLAUDE.md, atau menyimpan ringkasan singkat dalam konteks percakapan. Tool ini juga mengidentifikasi risiko teknis dan menyediakan daftar rekomendasi terperinci, sehingga Anda dapat segera mulai menangani tantangan dengan tingkat keparahan tinggi melalui tool perencanaan dan investigasi otomatis.
Apa yang bisa dilakukan agent dengannya
- 1Memetakan arsitektur proyekMenghasilkan gambaran komprehensif tentang bagaimana sebuah codebase terstruktur, termasuk peta hubungan antar komponen.
- 2Audit risiko teknisMengidentifikasi titik kompleksitas tinggi dan risiko teknis di dalam sebuah repository.
- 3Memperbarui dokumentasi proyekSecara otomatis memasukkan insight arsitektur baru ke dalam file README atau AGENTS yang sudah ada.
- 4Menjalankan perbaikan teknisMenangani rekomendasi spesifik dan memperbaiki kendala codebase yang telah diidentifikasi.
Ditulis dari SKILL.md milik skill tersebut. Setiap use case diverifikasi dengan kutipan darinya.
Cara install skill codebase-analysis
Setiap perintah menyalin folder skill ke direktori skills client. Restart client atau mulai sesi baru untuk memuatnya.Install skill codebase-analysis di Plugin
/plugin marketplace add sequenzia/agent-alchemy /plugin install agent-alchemy-core-tools@agent-alchemy
Install skill codebase-analysis di Claude Code
~/.claude/skills/codebase-analysis/SKILL.md
$ npx degit sequenzia/agent-alchemy/claude/core-tools/skills/codebase-analysis ~/.claude/skills/codebase-analysisInstall skill codebase-analysis di Claude Code (project)
.claude/skills/codebase-analysis/SKILL.md
$ npx degit sequenzia/agent-alchemy/claude/core-tools/skills/codebase-analysis .claude/skills/codebase-analysisInstall skill codebase-analysis di Codex
~/.agents/skills/codebase-analysis/SKILL.md
$ npx degit sequenzia/agent-alchemy/claude/core-tools/skills/codebase-analysis ~/.agents/skills/codebase-analysisInstall skill codebase-analysis di Gemini CLI
~/.gemini/skills/codebase-analysis/SKILL.md
$ npx degit sequenzia/agent-alchemy/claude/core-tools/skills/codebase-analysis ~/.gemini/skills/codebase-analysisInstall skill codebase-analysis di Claude.ai
npx degit sequenzia/agent-alchemy/claude/core-tools/skills/codebase-analysis codebase-analysis && zip -r codebase-analysis.zip codebase-analysis # claude.ai → Customize → Skills → + → Create skill → Upload a skill → codebase-analysis.zip
SKILL.md
Lihat di GitHubCodebase Analysis Workflow
Execute a structured 3-phase codebase analysis workflow to gather insights.
CRITICAL: Complete ALL 3 phases. The workflow is not complete until Phase 3: Post-Analysis Actions is finished. After completing each phase, immediately proceed to the next phase without waiting for user prompts.
Phase Overview
- Deep Analysis — Explore and synthesize codebase findings via deep-analysis skill
- Reporting — Present structured analysis to the user
- Post-Analysis Actions — Save, document, or retain analysis insights
Phase 1: Deep Analysis
Goal: Explore the codebase and synthesize findings.
-
Determine analysis context:
- If
$ARGUMENTSis provided, use it as the analysis context - If no arguments, set context to "general codebase understanding"
- If
-
Check for cached results:
- Check if
.claude/sessions/exploration-cache/manifest.mdexists - If found, read the manifest and verify:
codebase_pathmatches the current working directory, andtimestampis within the configured cache TTL (default 24 hours) - If cache is valid, use
AskUserQuestion:- Use cached results (show the formatted cache date) — Read cached synthesis from
.claude/sessions/exploration-cache/synthesis.mdand recon fromrecon_summary.md. SetCACHE_HIT = trueandCACHE_TIMESTAMPto the cache's timestamp. Skip step 3 and proceed directly to step 4. - Run fresh analysis — Remove the cache manifest file, set
CACHE_HIT = false, and proceed to step 3
- Use cached results (show the formatted cache date) — Read cached synthesis from
- If no valid cache: set
CACHE_HIT = falseand proceed to step 3
- Check if
-
Run deep-analysis workflow:
- Read
${CLAUDE_PLUGIN_ROOT}/skills/deep-analysis/SKILL.mdand follow its workflow - Pass the analysis context from step 1
- This handles reconnaissance, team planning, approval (auto-approved when skill-invoked), team creation, parallel exploration (code-explorer agents), and synthesis (code-synthesizer agent)
- After completion, set
CACHE_TIMESTAMP = null(fresh results, no prior cache)
- Read
-
Verify results and capture metadata:
- Ensure the synthesis covers the analysis context adequately
- If critical gaps remain, use Glob/Grep to fill them directly
- Record analysis metadata for Phase 2 reporting: whether results were cached (
CACHE_HIT), cache timestamp if applicable (CACHE_TIMESTAMP), and the number of explorer agents used (from the deep-analysis team plan, or 0 if cached)
Phase 2: Reporting
Goal: Present a structured analysis to the user.
-
Load diagram guidance:
- Read
${CLAUDE_PLUGIN_ROOT}/skills/technical-diagrams/SKILL.md - Use Mermaid diagrams in the Architecture Overview and Relationship Map sections
- Read
-
Load report template:
- Read
${CLAUDE_PLUGIN_ROOT}/skills/codebase-analysis/references/report-template.md - Use it to structure the presentation
- Read
-
Present the analysis: Structure the report with these sections:
- Executive Summary — Lead with the most important finding
- Architecture Overview — How the codebase is structured
- Tech Stack — Core technologies, frameworks, and tools detected
- Critical Files — The 5-10 most important files with details
- Patterns & Conventions — Recurring patterns and coding conventions
- Relationship Map — How components connect to each other
- Challenges & Risks — Technical risks and complexity hotspots
- Recommendations — Actionable next steps, each citing the challenge it addresses
- Analysis Methodology — Agents used, cache status, scope, and duration
-
IMPORTANT: Proceed immediately to Phase 3. Do NOT stop here. Do NOT wait for user input. The report is presented, but the workflow requires Post-Analysis Actions. Continue directly to Phase 3 now.
Phase 3: Post-Analysis Actions
Goal: Let the user save, document, or retain analysis insights from the report through a multi-step interactive flow.
Step 1: Select actions
Use AskUserQuestion with multiSelect: true to present all available actions:
- Save Codebase Analysis Report — Write the structured report to a markdown file
- Save a custom report — Generate a report tailored to your specific goals (you'll provide instructions next)
- Update project documentation — Add/update README.md, CLAUDE.md, or AGENTS.md with analysis insights
- Keep a condensed summary in memory — Retain a quick-reference summary in conversation context
If the user selects no actions, the workflow is complete. Thank the user and end.
Step 2: Execute selected actions
Process selected actions in the following fixed order. Complete all sub-steps for each action before moving to the next.
Action: Save Codebase Analysis Report
Step 2a-1: Prompt for file location
- Check if an
internal/docs/directory exists in the project root- If yes, suggest default path:
internal/docs/codebase-analysis-report-{YYYY-MM-DD}.md - If no, suggest default path:
codebase-analysis-report-{YYYY-MM-DD}.mdin the project root
- If yes, suggest default path:
- Use
AskUserQuestionto let the user confirm or customize the file path
Step 2a-2: Generate and save the report
- Use the report template already loaded in Phase 2 Step 1
- Generate the full structured report using the Phase 2 analysis findings and the template structure
- Write the report to the confirmed path using the Write tool
- Confirm the file was saved
Action: Save Custom Report
Step 2b-1: Gather report requirements
- Use
AskUserQuestionto ask the user to describe the goals and requirements for their custom report — what it should focus on, what questions it should answer, and any format preferences
Step 2b-2: Prompt for file location
- Check if an
internal/docs/directory exists in the project root- If yes, suggest default path:
internal/docs/custom-report-{YYYY-MM-DD}.md - If no, suggest default path:
custom-report-{YYYY-MM-DD}.mdin the project root
- If yes, suggest default path:
- Use
AskUserQuestionto let the user confirm or customize the file path
Step 2b-3: Generate and save the custom report
- Generate a report shaped by the user's requirements from Step 2b-1, drawing from the Phase 2 analysis data — this is a repackaging of existing findings, not a re-analysis
- Write the report to the confirmed path using the Write tool
- Confirm the file was saved
Action: Update Project Documentation
Step 2c-1: Select documentation files and gather directions
Use AskUserQuestion with multiSelect: true:
- README.md — Add architecture, structure, and tech stack information
- CLAUDE.md — Add patterns, conventions, critical files, and architectural decisions
- AGENTS.md — Add agent descriptions, capabilities, and coordination patterns
Then use a single AskUserQuestion to gather update directions for all selected files: "What content from the analysis should be added or updated? Provide general directions or specific sections to focus on (applies across all selected files, or specify per-file directions)."
Step 2c-2: Generate and approve documentation drafts
For each selected file, read the existing file and generate a draft based on the user's directions and Phase 2 analysis data:
- README.md: Read existing file at project root. If no README.md exists, skip and inform the user. Draft updates focusing on architecture, project structure, and tech stack.
- CLAUDE.md: Read existing file at project root. If none exists, ask if one should be created (if declined, skip). Draft updates focusing on patterns, conventions, critical files, and architectural decisions.
- AGENTS.md: Read existing file at project root (create new if none exists). Draft content focusing on agent inventory (name, model, purpose), capabilities and tool access, coordination patterns, skill-agent mappings, and model tiering rationale.
Present all drafts together in a single output, clearly labeled by file. Then use AskUserQuestion:
- Apply all — Apply all drafted updates
- Modify — Specify which file(s) to revise and what to change (max 3 revision cycles, then must Apply or Skip)
- Skip all — Skip all documentation updates
If approved, apply updates using Edit tool (existing files) or Write tool (new files).
Action: Keep Insights in Memory
- Present a condensed Codebase Quick Reference inline in the conversation:
- Architecture — 1-2 sentence summary of how the codebase is structured
- Key Files — 3-5 most critical files with one-line descriptions
- Conventions — Important patterns and naming conventions
- Tech Stack — Core technologies and frameworks
- Watch Out For — Top risks or complexity hotspots
- No file is written — this summary stays in conversation context for reference during the session
Step 3: Actionable Insights Follow-up
Condition: This step always executes after Step 2 completes. The Phase 2 analysis is available in conversation context regardless of whether a report file was saved.
Use AskUserQuestion to ask:
- Address actionable insights — Fix challenges and implement recommendations from the report
- Skip — No further action needed
If the user selects "Skip", proceed to Step 4.
If the user selects "Address actionable insights":
Step 3a: Extract actionable items from the report
Parse the Phase 2 report (in conversation context) to extract items from:
- Challenges & Risks table rows — title from Challenge column, severity from Severity column, description from Impact column
- Recommendations section — each numbered item with an (addresses: {Challenge name}) citation; inherit the cited challenge's severity (High/Medium/Low). If no citation is present, default to Medium.
- Other findings with concrete fixes — default to Low severity
If no actionable items are found, inform the user and skip to Step 4.
Step 3b: Present severity-ranked item list
- Load reference template from
${CLAUDE_PLUGIN_ROOT}/skills/codebase-analysis/references/actionable-insights-template.md - Present items sorted High → Medium → Low, each showing:
- Title
- Severity (High / Medium / Low)
- Source section (Challenges & Risks, Recommendations, or Other)
- Brief description
- Use
AskUserQuestionwithmultiSelect: truefor the user to select which items to address - If no items selected, skip to Step 4
Step 3c: Process each selected item in priority order (High → Medium → Low)
For each item:
-
Assess complexity:
- Simple — Single file, clear fix, localized change
- Complex — Multi-file, architectural impact, requires investigation
-
Plan the fix:
- Simple: Read the target file, propose changes directly
- Complex (architectural): Launch
agent-alchemy-core-tools:code-architectagent with context: the item title, severity, description, the relevant report section text (copy the specific Challenges/Recommendations entry), and any files or components mentioned. The agent designs the fix and returns a proposal. - Complex (needs investigation): Launch
agent-alchemy-core-tools:code-exploreragent with context: the item title, description, suspected files/components, and what needs investigation. The agent explores and returns findings for you to formulate a fix proposal. - If an agent launch fails, fall back to direct investigation using Read/Glob/Grep and propose a simpler fix based on available information.
-
Present proposal: Show files to modify, specific changes, and rationale
-
User approval via
AskUserQuestion:- Apply — Execute changes with Edit/Write tools, confirm success
- Skip — Record the skip, move to next item
- Modify — User describes adjustments, re-propose the fix (max 3 revision cycles, then must Apply or Skip)
Step 3d: Summarize results
Present a summary covering:
- Items addressed (with list of files modified per item)
- Items skipped
- Total files modified table
Step 4: Complete the workflow
Summarize which actions were executed and confirm the workflow is complete.
Error Handling
General
If any phase fails:
- Explain what went wrong
- Ask the user how to proceed:
- Retry the phase
- Skip to next phase (with partial results)
- Abort the workflow
Documentation Update Failures (Step 2c)
If an Edit or Write call fails when applying documentation updates:
- Retry the operation once
- If still failing, present the drafted content to the user inline and suggest they apply it manually
- Continue with the remaining selected files
Agent Launch Failures (Step 3c)
If a code-architect or code-explorer agent fails during actionable insight processing:
- Fall back to direct investigation using Read, Glob, and Grep
- Propose a simpler fix based on available information
- If the item is too complex to address without agent assistance, inform the user and offer to skip
Agent Coordination
Exploration and synthesis agent coordination is handled by the deep-analysis skill in Phase 1, which uses Agent Teams with hub-and-spoke coordination. Deep-analysis performs reconnaissance, composes a team plan (auto-approved when invoked by another skill), assembles the team, and manages the exploration/synthesis lifecycle. See that skill for team setup, approval flow, agent model tiers, and failure handling details.
Additional Resources
- For report structure, see references/report-template.md
- For actionable insights format, see references/actionable-insights-template.md
Berkas dalam skill ini
3Pertanyaan seputar skill codebase-analysis
Bagaimana cara install skill codebase-analysis di Claude Code?
Jalankan npx degit sequenzia/agent-alchemy/claude/core-tools/skills/codebase-analysis ~/.claude/skills/codebase-analysis. Claude Code memuat skill dari ~/.claude/skills (semua proyek) atau .claude/skills (satu proyek) dan menggunakan skill saat deskripsinya cocok dengan tugas.
Client mana saja yang bisa menggunakan skill codebase-analysis?
Client apa pun yang membaca format Agent Skills: Claude Code, Codex, Gemini CLI, dan claude.ai (unggah sebagai ZIP). Script dalam skill hanya berjalan di client yang mengizinkan eksekusi kode.
Apakah tool ini mendukung diagram visual?
Ya, tool ini menggunakan diagram Mermaid untuk memvisualisasikan ringkasan arsitektur dan peta hubungan antar komponen.
Bisakah saya menindaklanjuti temuan yang ditemukan selama analisis?
Ya, workflow ini mencakup langkah tindak lanjut untuk menangani insight yang dapat ditindaklanjuti, memungkinkan Anda memperbaiki kendala dan menerapkan rekomendasi berdasarkan tingkat keparahannya.