project-onboarding

A guided interview and setup process that records a project's vision, target audience, and main direction in project documents. It is started by the operator and does not run automatically.

In plain words
What is it for?
Use it when starting a project, setting its direction, capturing a North Star, or updating the vision after new research or changed priorities.
Why use it?
It gives future planning and implementation work a shared understanding of what the project is trying to achieve, without making the agent guess.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/fusebase-dev/fusebase-flow/project-onboarding
Any agent
npx skills add fusebase-dev/fusebase-flow --skill project-onboarding
Clone the repo
git clone --depth 1 https://github.com/fusebase-dev/fusebase-flow

Made for: Claude Code, Codex.

Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,154 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00116 $0.01154
Opus 5 $0.00058 $0.00577
Sonnet 5 $0.00023 $0.00231
Haiku 4.5 $0.00012 $0.00115

Measured 2d ago against content hash bd0eb1bc5f11, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project-onboarding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/project-onboarding/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Onboarding

Style: Mode-B-lite. Product Owner role.

Purpose

Capture the operator's project vision once, into durable artifacts that steer every later session. This is the engine that creates the Column-B artifacts the input-dependent skills read. Onboarding is operator-triggered and optional — if never run, Flow operates generically with zero project artifacts (no clutter).

When to invoke

  • Operator runs /onboard or says "onboard my project", "set up my project for my vision", "capture my North Star".
  • Operator drops research into docs/**/research/ and asks the PO to build project docs from it.
  • Re-run any time the vision evolves ("update my North Star").

Do not invoke when

  • Ordinary ticket work (use requirements-specification).
  • Writing application code (FR-01).
  • On install / automatically — onboarding never auto-runs.

Required inputs

Input Where it lives If missing
Operator answers to discovery questions chat ask in chat text (FR-19); do not invent
Optional research docs/**/research/ proceed without; note it
Artifact scaffold templates/north-star.md stop; template missing

Procedure

  1. Adopt Product Owner role; self-attest (FR-01..FR-27). Do not write code.
  2. Adoption level — ask the operator (FR-19): (a) one-line North Star, (b) full discovery interview, (c) skip. Respect "skip" — create nothing.
  3. Discovery interview (chat text, one topic at a time): Who are you / your edge? · Audience: internal team vs external clients? · Product vision / the apps to build? · Domain / industry? · What does success look like? · Hard constraints?
  4. Ingest research if present in docs/**/research/ — summarize, cite; never invent domain facts.
  5. Write docs/north-star.md from templates/north-star.md, populated with the operator's answers + last_updated: today. Only write content the operator actually provided.
  6. Fill AGENTS.md § Project-specific values (<placeholder> fields) where the operator gave concrete values.
  7. Register for discovery: confirm docs/north-star.md is at a path the session-start scan globs (it is). No separate registry needed in v1.
  8. Audience surfaces (if the operator defines them): write docs/audience.md from templates/audience.md — the substrate the client-vs-internal skill guards on (client-facing = simple/guided/trust-first; internal = robust controls).
  9. Offer next (FR-17): "North Star captured — want to define audience surfaces, or start a ticket?" Do not over-create artifacts unprompted.

Read the full file on GitHub · 91 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 91 lines · 116 tokens per session scan A bd0eb1bc5f11

Subscribe to this mod's changes

project-onboarding is a skill published in the GitHub repository fusebase-dev/fusebase-flow (9 stars, last pushed 7d ago), licensed MIT. It adds 116 tokens to every session and 1,154 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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