Best for
- When onboarding AI agents to an existing or legacy codebase.
- When the directory structure has undergone significant refactoring.
- When a user explicitly requests a breakdown of the repository's architecture.
GulajavaMinistudio/awesome-copilot-id/.agents/skills/sdlc-map-architecture/SKILL.md
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Decision brief
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE. md.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/GulajavaMinistudio/awesome-copilot-id --skill ".agents/skills/sdlc-map-architecture"Inspect the Agent Skill "sdlc-map-architecture" from https://github.com/GulajavaMinistudio/awesome-copilot-id/blob/a0467e89eea7fdb95896bfbde261a196b2d39f26/.agents/skills/sdlc-map-architecture/SKILL.md at commit a0467e89eea7fdb95896bfbde261a196b2d39f26. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. High-Level Scan: - Priority Read: Read README.md first to understand the project's core purpose, tech stack, and setup instructions. - Context Gathering: Search for and read CONTEXT.md, memory.instructions.md, and any files in docs/adr/ to absorb existing architectural decisi…
1. Check for the existence of ARCHITECTURE.md inside the /docs/ directory. (If /docs/ does not exist, create it). If ARCHITECTURE.md already exists, read its content first and ask the user whether to fully regenerate the document or update only the affected sections. 2. Content:…
Execute this phase ONLY if the user approved the offer in Phase 2, Step 4.
1. Language: Follow the language policy defined in the project's AGENTS.md. 2. Strict Scope Boundary: You are an analyst and documentarian. Regardless of your active persona (e.g., GodModeDev, Senior Staff Engineer, Planner Architect, et al.), while executing this specific skill…
When onboarding AI agents to an existing or legacy codebase.
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 87/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 53 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
/sdlc-map-architecture)/docs/ directory and updating AGENTS.md (or equivalent configuration files) to integrate references.This skill outlines the workflow to explore an existing codebase, analyze its architectural structure, map out file/folder purposes, and generate a comprehensive ARCHITECTURE.md document. This is critical for context-sharing among other AI agents in the Spec-Driven Development ecosystem.
/sdlc-define-specs instead).README.md first to understand the project's core purpose, tech stack, and setup instructions.CONTEXT.md, memory.instructions.md, and any files in docs/adr/ to absorb existing architectural decisions and domain knowledge.package.json, build.gradle, pom.xml, docker-compose.yml, tsconfig.json, .gitignore, etc.). This reveals the tech stack, entry points, and dependencies.package.json files, lerna.json, or a packages/ directory. If detected, analyze the architecture considering the monorepo structure.docs/ and spec/ directories to understand previously established architectures, API contracts, and business logic. Also, read any formatting rules in .agents/standards/ if you need to generate new documentation.src/, app/, lib/), traversing up to 3 levels deep. Only read individual files when their purpose cannot be inferred from directory structure alone.ARCHITECTURE.md inside the /docs/ directory. (If /docs/ does not exist, create it). If ARCHITECTURE.md already exists, read its content first and ask the user whether to fully regenerate the document or update only the affected sections..agents/skills/sdlc-map-architecture/references/ARCHITECTURE-TEMPLATE.md before generating the document./docs/ARCHITECTURE.md. Would you like me to add a reference link to this document inside AGENTS.md (or other agent index files) so other agents can read it?"Execute this phase ONLY if the user approved the offer in Phase 2, Step 4.
AGENTS.md file (or the primary agent configuration/index file in the .agents/ or root directory).AGENTS.md.- **Project Architecture Map:** Read [/docs/ARCHITECTURE.md](/docs/ARCHITECTURE.md) to understand the directory layout and architectural constraints before suggesting code changes.AGENTS.md.Alternatives
K-Dense-AI/scientific-agent-skills
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
mgiovani/cc-arsenal
Multi-agent review team: architecture, security, performance, testing, style, docs/UX, plus an adversary that cross-examines the other 6, for security-sensitive, architectural, or large PRs (15+ files) where a single-agent pass risks missing cross-cutting issues. Use for auth/payments/PII changes, schema/pattern changes, compliance sign-off, or when asked to 'get the review team on this' / 'multi-agent review' / 'thorough review before merge'. For a standard PR or a quick pre-merge check, use /r
K-Dense-AI/scientific-agent-skills
Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates.
tikalk/adlc-team-skills
Generate a full Architecture Description (AD.md) from accepted ADRs using multi-agent DAG orchestration. Use when accepted ADRs exist and you need to produce or update unified architecture documentation.