vicnaum/vics-agent-skills/init-context

Claude Code and agent skill by vicnaum/vics-agent-skills

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Build a complete mental map of a project through phased exploration so you can work effectively without rediscovering things. Use when the user wants to: (1) Onboard onto a new or unfamiliar codebase, (2) Get a full project overview or briefing, (3) Understand project architecture, structure, and open work, (4) Initialize context at the start of a deep work session, (5) Explore and summarize a repository end-to-end. Triggers on requests like \"explore this repo\", \"get familiar with this project\", \"give me a project overview\", \"onboard me\", \"init context\", or any request to deeply understand a codebase before working on it.

Install

npx vskill@latest install vicnaum/vics-agent-skills/init-context

SKILL.md

Build a complete mental map of this project so you can work effectively without rediscovering things. Follow these phases:

Phase 1: Direct Reading (your own context)

Find and read key documentation files directly — do NOT delegate these, you need them in YOUR context:

  • Look for root-level markdown files: README, STATUS, CHANGELOG, CONTRIBUTING, ARCHITECTURE, ROADMAP, REFERENCE, WORKLOG, and any project-specific docs (CLAUDE.md, AGENTS.md, etc.)
  • Look for a CLAUDE.md or similar agent instruction file
  • Check for a .claude/ directory with project config or memory files
  • If the codebase is large - use a sub-agent with a layered-summary skill for the code sources folder to generate (or update, if exists) the AGENTS.md summaries

Phase 2: Sub-agent Exploration (parallel)

Based on what you learned in Phase 1, spawn sub-agents to explore the major areas of the codebase. Each agent should read all documentation files in its area, skim key source files, and return a structured summary of: what's there, how it works, key decisions, and where to look for what.

Typical areas to explore (adapt based on actual project structure):

  • Each major source directory — architecture, key modules, entry points, important types/interfaces
  • Tests & CI — test structure, CI config, how to run tests
  • Config & Infrastructure — deployment configs, environment setup, docker files, scripts
  • Documentation subdirectories — any docs/, wiki/, knowledge-base/, research/, or analysis/ folders
  • GitHub/GitLab history — previous commits list, closed PRs, closed Issues (using gh if available)
  • GitHub/GitLab current state — open issues, open PRs, recent commits and activity (gh issue list, gh pr list if available)

Adjust the number and focus of sub-agents based on project size. Small project = 2-3 agents. Large monorepo = 5-6 agents, iterative.

Phase 3: Fill Gaps

After receiving all sub-agent summaries, identify gaps in your understanding:

  • Are there key source files referenced in docs that you haven't seen?
  • Is the data flow / request lifecycle clear end-to-end?
  • Do you understand how to build, test, and run the project?
  • Is there anything that you're still missing and need to see?
  • Spawn additional sub-agents or read files yourself as needed
  • Check recent git log (git log --oneline -20) for context on latest changes

Phase 4: Synthesize

Provide a concise project briefing covering:

  • Project overview: What is this? What problem does it solve?
  • Current state: What phase/version? What works? What's in progress?
  • Architecture map: How the major pieces fit together, data flow, key abstractions
  • Open work: Issues, PRs, blockers, next steps
  • Key numbers: Any important metrics, benchmarks, or thresholds
  • Developer guide: How to build, test, run. Key commands.
  • Where to find things: Quick reference for common lookups (config, entry points, types, tests)

The goal: after this runs, you should have FULL project context and never need to ask "where is X?" or "what does Y do?" for the common cases.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
43
Repository forks
3
7-day trend score
19

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 18 Mar 2026, 7 months ago.

Works with

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