laimis91/assistant-framework/skills/assistant-onboard/SKILL.md
assistant-onboard
Map an unfamiliar codebase and its patterns. Use for onboarding, project orientation, or explicit codebase-learning requests.
- Source repository stars
- 7
- Declared platforms
- 0
- Static risk flags
- 2
- Last source update
- 2026-08-04
- Source checked
- 2026-08-04
Decision brief
What it does—and where it fits
Map an unfamiliar codebase and its patterns. Use for onboarding, project orientation, or explicit codebase-learning requests.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| 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
Inspect first. Install second.
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/laimis91/assistant-framework --skill "skills/assistant-onboard"Inspect the Agent Skill "assistant-onboard" from https://github.com/laimis91/assistant-framework/blob/e85fbadd83b022d9644bbe51b11784cf2e2dfd72/skills/assistant-onboard/SKILL.md at commit e85fbadd83b022d9644bbe51b11784cf2e2dfd72. 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
What the source asks the agent to do
- 01
Phase 1: Surface Scan (fast, always do)
Print: Onboarding: Surface scan
README.md / docs index — stated purpose, setup instructionsAgent/project instructions — AGENTS.md, CLAUDE.md, CONTRIBUTING.md, .cursorrules, or equivalent.gitignore — what's excluded reveals what's used - 02
Phase 2: Architecture Map (medium+ projects)
Print: Onboarding: Architecture mapping
Entry points: where execution startsLayer boundaries: how code is organized (by feature, by layer, hybrid)Key abstractions: interfaces/base classes that define the architecture - 03
Phase 3: Pattern Recognition
Print: Onboarding: Pattern recognition
Naming conventions (PascalCase, camelCase, prefixes)Error handling pattern (exceptions, Result types, error codes)Logging approach (structured, unstructured, what framework) - 04
Phase 4: Knowledge Gaps and Risky Areas
Print: Onboarding: Identifying unknowns and risk areas
Areas of code that seem complex or unusualPatterns that deviate from conventionDependencies whose purpose isn't clear - 05
Phase 5: Generate Project Orientation
Print: Onboarding: Generating project orientation
Print: Onboarding: Generating project orientationCreate or update a project-local orientation artifact only when allowed by user/project policy. Prefer the active agent's configured project note path; examples include {agentstatedir}/memory.md, or a documented repo-lo…
Permission review
Static risk signals and limitations
Writes files
The documentation asks the agent to create, modify, or delete local files.
Create or update a project-local orientation artifact only when allowed by user/project policy. Prefer the active agent's configured project note path; examples include `{agent_state_dir}/memory.md`, or a documented repo-local equivalent. IReads files
The documentation asks the agent to read local files, directories, or repositories.
**Don't read everything** — sample representative files, don't read every fileEvidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 86/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 7 | 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
Provenance and original SKILL.md
- Repository
- laimis91/assistant-framework
- Skill path
- skills/assistant-onboard/SKILL.md
- Commit
- e85fbadd83b022d9644bbe51b11784cf2e2dfd72
- License
- MIT
- Collected
- 2026-08-04
- Default branch
- main
View the original SKILL.md
Project Onboarding
Contracts
| File | Purpose |
|---|---|
contracts/input.yaml | project_path, focus_area, depth |
contracts/output.yaml | project_summary, key_files[], conventions[], risky_areas[], likely_change_points[], artifacts[], artifact_updated, questions[] |
project_pathis required;depthdefaults to standard when not specifiedkey_filesentries include path and purpose;conventionsentries include pattern and examplerisky_areasandlikely_change_pointsmake the orientation actionable for future development workquestionsmust be specific to unclear areas discovered during onboarding
Systematic protocol for learning a new codebase. Produces structured project orientation that accelerates future work. Project-local orientation artifacts are optional and must follow the active agent/workplace policy; do not assume third-party memory tooling is available.
Core principle: Understand before acting. Map the territory before navigating it.
Company-safe defaults:
- Read local project files and run read-only/local discovery commands only.
- Do not install analyzers, upload source, or call external services without explicit approval.
- Do not store secrets, customer data, private URLs, or transient task progress in orientation artifacts.
- Prefer agent-agnostic project notes; if the environment has a configured agent memory path, use that path, otherwise report the orientation in the response without writing files.
Goal
Build a compact, evidence-based orientation for the project so future development starts from real structure, commands, conventions, and gaps.
Success Criteria
- Surface scan, architecture mapping, pattern recognition, and gap reporting are complete for the selected depth.
- Key files include path and purpose; conventions include pattern and concrete example.
- Build/test/run commands are identified from project files when available.
- Risky areas and likely change points are called out for future development work.
- Questions are specific to discovered gaps, not generic prompts.
- Orientation artifacts are reported accurately.
Constraints
- Ask only when the focus area or depth materially changes which files are inspected and cannot be inferred from the user's request.
- Do not edit production code during onboarding.
- Do not claim full coverage from a representative sample; label gaps and assumptions clearly.
- Do not create or overwrite orientation/memory files unless the user or project policy allows it.
- Do not persist secrets, credentials, private endpoints, or temporary task status.
When to Activate
- First time working with a repository
- User explicitly asks to learn/understand a codebase
- No project-local orientation artifact exists for the project
- Existing project-local orientation is stale (> 60 days old with significant changes)
Onboarding Protocol
Phase 1: Surface Scan (fast, always do)
Print: >> Onboarding: Surface scan
Read in this order (stop early if small project):
When the active adapter supports parallel reads, batch independent reads such as README, agent instructions, .gitignore, root listing, build files, and CI config. If parallel reads are unavailable, use the order below.
- README.md / docs index — stated purpose, setup instructions
- Agent/project instructions — AGENTS.md, CLAUDE.md, CONTRIBUTING.md,
.cursorrules, or equivalent - .gitignore — what's excluded reveals what's used
- Root directory listing — project shape
- Build files — .csproj, package.json, pyproject.toml, Makefile, Dockerfile, go.mod, Cargo.toml, etc.
- CI/CD config — .github/workflows, azure-pipelines.yml, GitLab CI, build scripts
Extract:
- Project name and purpose
- Tech stack (language, framework, major dependencies)
- Build and test commands
- Project structure pattern (monorepo, single project, multi-project solution)
Phase 2: Architecture Map (medium+ projects)
Print: >> Onboarding: Architecture mapping
For medium+ projects, dispatch a Code Mapper subagent if available. If delegation is unavailable in the active adapter or tool policy, perform a lightweight local map and record that Code Mapper dispatch was unavailable.
Map:
- Entry points: where execution starts
- Layer boundaries: how code is organized (by feature, by layer, hybrid)
- Key abstractions: interfaces/base classes that define the architecture
- Data model: entities, their relationships, persistence strategy
- External integrations: databases, APIs, message queues
- Configuration: what's configurable, where settings live
Phase 3: Pattern Recognition
Print: >> Onboarding: Pattern recognition
Identify the project's conventions by reading 3-5 representative files:
- Naming conventions (PascalCase, camelCase, prefixes)
- Error handling pattern (exceptions, Result types, error codes)
- Logging approach (structured, unstructured, what framework)
- Testing patterns (framework, naming, organization)
- DI patterns (registration style, lifetime choices)
- Code organization within files (ordering of members, regions)
Phase 4: Knowledge Gaps and Risky Areas
Print: >> Onboarding: Identifying unknowns and risk areas
List what you still don't understand:
- Areas of code that seem complex or unusual
- Patterns that deviate from convention
- Dependencies whose purpose isn't clear
- Configuration values that need context
Also identify practical development guidance:
- Risky areas: auth, permissions, persistence, migrations, external integrations, shell/file operations, weak tests, unclear ownership
- Likely change points: files/directories most future tasks are likely to touch
- Verification entry points: focused test/build commands and smoke checks discovered locally
Present only specific gaps to the user. Do not ask generic "anything else?" questions.
Phase 5: Generate Project Orientation
Print: >> Onboarding: Generating project orientation
Create or update a project-local orientation artifact only when allowed by user/project policy. Prefer the active agent's configured project note path; examples include {agent_state_dir}/memory.md, or a documented repo-local equivalent. If no safe path is known, do not write a file; return the orientation in the response.
# [Project Name]
## Purpose
[What it does, who uses it]
## Tech Stack
- Language: [language] [version]
- Framework: [framework] [version]
- Database: [database]
- Key dependencies: [list]
## Architecture
- Pattern: [pattern name]
- Entry points: [list with paths]
- Layers: [list with descriptions]
## Conventions
- Naming: [convention]
- Error handling: [pattern]
- Testing: [framework, naming convention]
- DI: [registration pattern]
## Build and Test Commands
```bash
[build command]
[test command]
Key Files
Risky Areas
- [path/surface]: [risk and why it matters]
Likely Change Points
- [path/directory]: [when future work should look here]
Verification Entry Points
- [command]: [what it validates]
Gotchas
- [non-obvious thing 1]
- [non-obvious thing 2]
### Phase 6: Report
Print: `>> Onboarding complete`
Present a concise summary:
Project: [name] Stack: [tech stack summary] Architecture: [pattern] Size: [small/medium/large] (~[N] files, ~[N]k lines) Commands: [build/test/run summary] Conventions: [key conventions] Risky areas: [auth/data/integration/test gaps/etc.] Likely change points: [top directories/files] Unknowns: [any remaining gaps]
Project orientation: [saved to path | returned in response only] Ready to work on this codebase.
## Output
Return:
- **Project summary** - purpose, stack, architecture, approximate size, and primary build/test/run commands.
- **Key files** - important paths with their role in the system.
- **Conventions** - discovered patterns with concrete examples.
- **Risky areas** - surfaces that need extra care in future work and why.
- **Likely change points** - files/directories future features or fixes will likely touch.
- **Artifacts** - orientation files created or updated, or "none" if no files changed.
- **Gaps** - unknowns, assumptions, and specific questions for the user.
- **Status** - onboarded, partially onboarded, or blocked by missing access/context.
## Incremental Onboarding
When returning to a known project after significant time:
1. Read existing project-local orientation if present and policy-allowed (`{agent_state_dir}/memory.md`, or configured equivalent)
2. Check `git log --since="[last session date]"` for changes when git history is available
3. Update orientation only with stable conventions or structural changes; otherwise report refresh results without writing
4. Print: `>> Refreshed project context — [N] changes since last session`
## Rules
- **Never skip Phase 1** — even for "quick" tasks in a new repo
- **Don't read everything** — sample representative files, don't read every file
- **Ask about unknowns** — don't guess business logic or domain concepts
- **Keep memory concise** — under 100 lines, focused on stable development conventions
- **Update, don't overwrite** — if memory.md exists, update sections, don't regenerate
## Stop Rules
- Stop and ask one focused question when project path, focus area, or onboarding depth cannot be inferred and changes the inspection plan.
- Stop and report blocked status when required files cannot be read.
- Do not proceed to code changes as part of onboarding.
Alternatives
Compare before choosing
coreyhaines31/marketingskills
ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
alirezarezvani/claude-skills
app-store-optimization
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklist
JasonColapietro/suede-creator-skills
suede-ab-testing
Suede-owned experimentation discipline for hypotheses, sample sizing, test duration, significance, and repeatable experiment programs. Use when comparing variants, deciding whether a result is reliable, or building an experiment backlog and cadence. NOT FOR: analytics instrumentation (use suede-analytics), post-click conversion diagnosis (use suede-site-alchemy), or writing the variant copy itself (use suede-copy).
narrative-io/narrative-skills-marketplace
design-analysis
Translate a fuzzy analytical question into a rigorous investigation plan. Interrogates the ask, grounds the plan in the available data dictionary, applies analytical best practices, and produces a structured brief of query specifications for a downstream query-writing skill. Plans, does not write SQL. Use when: "why did X drop", "is there a relationship between A and B", "who are our highest-value customers", "what's driving the change in Y", "investigate this trend", "design an analysis for", "