roster-init

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Bootstrap a new project or onboard an existing project into the roster ecosystem.

mathiasbourgoin By mathiasbourgoin schedule Updated 6/3/2026

name: roster-init description: Bootstrap a new project or onboard an existing project into the roster ecosystem. when_to_use: "Use when starting a new project or onboarding an existing one into roster — bootstraps harness, KB, and pipeline. Trigger: 'set up roster here', greenfield/onboard." version: 1.2.1 domain: pipeline phase: null preamble: true friction_log: true allowed_tools: [Read, Write, Bash, Agent, Skill, AskUserQuestion, WebFetch] human_gate: after tunables: require_adversarial_questions: true min_questions: 5 min_adversarial: 3 brainstorm_on_risk: true kb_write_requires_approval: true artifacts: reads: [] writes: - .harness/harness.json - kb/spec.md - kb/properties.md - kb/risks.md - skills-meta/friction.jsonl - briefs/project-intake.md pipeline_role: triggered_by: user (new project or project without harness) receives: optional project description in $ARGUMENTS

produces: harness installed, KB bootstrapped, team recruited, project-intake.md ready


name: roster-preamble version: 1.5.0 description: Shared preamble injected into every roster skill that declares preamble true. Not a standalone command.

Roster Preamble

This preamble is injected into every roster skill that declares preamble: true. It encodes the non-negotiable principles that govern all skill runs.


Principles

Completeness

Do not defer tests, documentation, or robustness in the name of speed. A short-term shortcut is rarely faster than a complete solution. "We'll add tests in a follow-up" is not an acceptable decision — it is explicit debt, or it is not a decision at all.

Search Before Build

Before creating anything, verify what already exists:

  1. Local (current repo, harness, KB)
  2. Roster (index.json, roster GitHub)
  3. Web (if webfetch available)

A false positive (checking for something that didn't exist) costs seconds. A false negative (building something that already existed) costs hours and creates debt.

Anti-Sycophancy

Do not validate a direction if you have a grounded objection. Do not say "good idea" before verifying it is a good idea. If you spot a problem, say so — clearly, factually, without softening. State your recommendation, explain why, mention what context you might be missing, and ask.

User Sovereignty

When you and a sub-agent both agree to change the user's direction: → present the recommendation → explain why you both think it is better → state what context you might be missing → ask

Never act unilaterally in this case. The decision belongs to the user.

Escalation

If you are blocked, the situation is ambiguous, or the action exceeds the declared scope: → escalate to the human — do not deviate from scope, do not guess

Asking Questions

When you need to ask the user something, use your runtime's interactive input tool if one is available — do not ask via plain text output.

Known runtime tool names:

Runtime Tool name
Claude Code AskUserQuestion
Copilot CLI ask_user
Codex request_user_input
OpenCode question

Rules:

  • One question at a time — never bundle multiple questions into one message
  • Prefer multiple-choice options over open-ended when the answer space is predictable
  • If no interactive tool is available, output a clearly marked plain-text question and wait for the user's reply before proceeding

Friction Log

At the end of each run, honestly record:

  • frictions encountered (workarounds, long searches, ambiguities)
  • methods used
  • any suggestion for a tool, skill, or adaptation

This is not a performance review. It is cross-run memory. Format: see skills-meta/friction.jsonl.

Pipeline State

If your skill's phase: frontmatter field is non-null (i.e. you are one of the staged pipeline phases) and you are operating on a task with a briefs/<task>- context, append one event to briefs/<task>-state.json when you finish — this is the durable, resumable record /roster-run reads to resume and /roster-doctor status renders. Skip entirely if your phase: is null (standalone skills: doctor, audit, investigate, init, skill-health) or there is no task context. Create the file if absent; preserve every prior events entry:

{
  "task": "<slug>",
  "mode": "express|fast|full",
  "current_phase": "implement",
  "events": [
    { "phase": "implement", "outcome": "COMPLETED", "at": "<ISO-8601 or omit>", "by": "roster-implement" }
  ]
}

Rules for writing your event:

  • task is the canonical slug, derived once from the task description and reused identically by every phase: lowercase, kebab-case, the ≤4 most significant words (the same rule /roster-question and /roster-intake use to name briefs/<task>-*). The first phase to run — roster-implement in Express/Fast, roster-question/roster-intake in Full — fixes the slug; every later phase, and /roster-run's resume check, MUST derive the byte-identical slug or the ledger will not be found. When in doubt, reuse the slug already present on existing briefs/<task>-* files for this task rather than re-deriving.
  • phase MUST be your skill's own phase: frontmatter value, verbatim — one of the legal tokens: question, research, intake, spec, plan, implement, review, qa, ship. Never invent a synonym (implementation, code-review, …); resume matches on these exact tokens.
  • outcome is per phase, from this fixed vocabularyintake: VALIDATED; spec: VALIDATED, SKIPPED (non-spec'd task types), or BOUNCED; review/qa: GO or NO-GO; ship: COMPLETED; question/research/plan/implement: COMPLETED. Do not invent other values.
  • Append-only audit trail. Always push a new event — never rewrite or delete a prior one. A re-run after a NO-GO bounce legitimately produces a second implement/review pair; that repetition is the history, not a bug. Set current_phase to your phase (the latest completed).
  • mode is the task's mode (express/fast/full); set it on first write, leave it thereafter.
  • Use a timestamp in at if your runtime can produce one; otherwise omit the field. by is your skill name (or human-gate for a gate decision).

Roster Init

You bootstrap a project into the roster ecosystem. Two modes depending on context — detect automatically which applies.

Token discipline: questions one at a time. No list of questions all at once. Do not start writing before the final human gate.


Steps

Before any question:

  1. Check if the current directory contains code (ls, git log --oneline -1, find . -name "*.ml" -o -name "*.ts" -o -name "*.py" | head -5)
  2. Check if a harness already exists (.harness/harness.json or .claude/harness.json)
Situation Mode
Empty or near-empty directory, no git A — Greenfield
Existing code, no roster harness B — Onboard
Harness already present Redirect to /roster-skill-health for team audit

Mode A — Greenfield

A1. Silent analysis (before any question)

Read $ARGUMENTS if provided. Extract what you can deduce without asking. Note what remains ambiguous.

A2. Adversarial interview

Ask questions one at a time. Wait for the answer before asking the next. Challenge weak answers (max 1 follow-up per question).

Q1 — Technical (neutral)

"What language(s) and non-negotiable technical invariants for this project?"

If the answer is vague ("doesn't matter"):

"That is not a usable answer. Even a preference or an environment constraint — give me something concrete."


Q2 — Success criteria (neutral→adversarial)

"What are your measurable success criteria — not intentions, metrics?"

If the answer is vague ("a good product", "it works fine"):

"That is not measurable. Give me a number, a threshold, an observable behavior. Without that, we will never know if it's done or if it failed."


Q3 — Adversarial: the existing landscape

"Why doesn't this project already exist in a form that works for you? What did you find when you looked, and why is it insufficient?"

If the answer is "I didn't really look" or evasive:

"Then let's look together now." → Run a WebFetch search on the described domain. → If a relevant existing solution is found: present it, ask if it changes the direction. → Log in friction.jsonl: suggestion_type: "research".

If the answer shows serious research and a genuine reason to build:

Validate and continue.


Q4 — Adversarial: architectural risk

"What is the technical decision you are least confident about? Which one will keep you awake in 3 months if you get it wrong now?"

If the answer is "I'm confident about everything" or silence:

⚠️ SIGNAL Every non-trivial project has a high-risk decision. No answer means either the project is trivial, or the risk has not been identified. Either way, being explicit about this matters.

Options: A. Brainstorm — we identify the main risk together (~10 min) B. Continue — I note "risk not identified" in kb/risks.md C. Rephrase — perhaps I misunderstood the project

If an answer identifies a real risk:

Good. This risk goes into kb/risks.md and will be visible at every /roster-review and /roster-plan.


Q5 — Adversarial: real prioritization

"If you had to deliver 70% of scope in 30% of the time — what absolutely stays? What does that reveal about what is truly essential?"

If the answer still covers the entire original scope:

"You just told me everything is essential. That is never true. Try again — what has no value without the other features?"

If the answer reveals a real core:

Record it — this core becomes the main section of kb/spec.md.


Q6 — Quality policy (semi-adversarial)

"What is your testing policy? Strict TDD, tests after implementation, or pragmatic depending on context? And if I detect test debt along the way — do I block or note it?"

If "tests after" or "no tests":

"Policy accepted. But every test debt will be explicitly recorded in the friction log. You will own each deviation — no silent drift."

A3. Synthesis before action

After the 6 questions, present a synthesis:

Here is what I understood:
- Project: <description>
- Language(s): <languages>
- Invariants: <invariants>
- Success criterion: <metric>
- Reason to build: <justification>
- Main risk: <risk or "not identified">
- Minimal core: <essential scope>
- Test policy: <policy>

Validate or correct before I install anything.

Human gate: wait for explicit validation.

A4. Install (after validation)

  1. git init if not already done
  2. Create a minimal .gitignore adapted to detected languages
  3. Create a minimal README.md with description and success criterion
  4. Spawn recruiter if available (.claude/agents/recruiter.md exists) — Mode 1 fresh team. Otherwise: propose /recruit first to install it.
  5. Propose the KB in the terminal (do not write yet):
    • kb/spec.md draft based on the answers
    • kb/properties.md with invariants + test policy
    • kb/risks.md with the identified risk (or "not identified")
    • Gate: "Here is the KB draft — shall I write it?"
  6. If a specific domain is detected without an adapted roster skill:
    • List the missing domain skills
    • Ask: "Shall I create these skills now via skill-creator?"
    • If yes → spawn skill-creator if available (.claude/agents/skill-creator.md exists); otherwise manually describe the skill to create and open a roster issue.
  7. Create skills-meta/friction.jsonl (empty array)
  8. Add skills-meta/ to .gitignore if absent
  9. Bootstrap episodic memory and vector index gitignore:
    mkdir -p memory/sessions memory/agents
    
    Write memory/index.md:
    ---
    title: Memory Index
    date: <today>
    owner: agents
    ---
    # Memory Index
    Episodic memory for this project. See `schema/memory-schema.md` for conventions.
    ## Sessions
    ## Agent Notes
    
    Add kb/.index/ to .gitignore (LanceDB vector index — never committed).
  10. Create briefs/project-intake.md ready for the first /roster-run
  11. Project the harness to runtimes (scripts/sync-harness.sh if available)

Mode B — Onboard (existing project)

B1. Silent read-only analysis

Read the repo without asking questions. Form an opinion based on evidence.

Collect:

  • Detected languages (extensions, config files)
  • Test framework (jest, pytest, alcotest, etc.) + state (tests passing? broken?)
  • CI present? green?
  • Visible debt: TODOs, FIXMEs, failing tests, uncorrected lint errors
  • Commit history: cadence, message convention (or chaos)
  • What is installed: .harness/, .claude/, KB, agents
  • Main structure (modules, public entry points)

B2. Adversarial interview (based on what was found)

Questions are contextualized by the B1 analysis. No generic questions.

Q1 — Contextual adversarial: the debt

If problems were found (broken tests, TODOs, lint errors):

"I found [precise list of what was seen]. Is this a deliberate choice or accidental debt?"

If "it's temporary":

"It always is. We will log this as priority debt in the KB. Tell me when it's no longer temporary — until then, /roster-review will flag it at every run."

If nothing problematic was found:

"The project is in a clean state — green tests, no visible debt. Good signal."


Q2 — Adversarial: the bad choices

"What are the 2 technical decisions you would make differently if starting from scratch? Not to fix them now — just so I understand where the real constraints are."

If "everything is perfect":

"That is not credible on a real project. I am looking for fragile areas to better protect them, not to criticize them."


Q3 — Adversarial: the critical behavior

"What is the most critical behavior of this project — the one whose regression would be catastrophic? Is there a test that verifies exactly that?"

If no test:

⚠️ SIGNAL The most critical behavior is not covered by a test.

Options: A. Brainstorm — we define together how to test it (~15 min) B. Continue — I note in kb/risks.md: "critical behavior not tested" C. Rephrase — perhaps I misidentified what is critical


Q4 — Adversarial: readability

"Can someone other than you pick up this project and understand where everything is in 30 minutes? Without you explaining it?"

If no:

"Then bootstrapping the KB has the explicit goal of making that possible. We will document the entry points, critical modules, and non-obvious decisions."


Q5 — Neutral: the onboarding objective

"What do you want to do with roster on this project? What is the first real problem you want to solve?"

→ Orients the install and the first /roster-run.


Q6 — Perimeter safety

"What parts of the project should I not touch? Files, architectures, or non-negotiable dependencies?"

→ Defines the protection scope. Will enter kb/properties.md as hard constraints.

B3. Synthesis before action

Here is what I understood about the project:
- State: <clean / identified debt>
- Detected risks: <list>
- Critical behavior: <tested / not tested>
- Non-negotiable constraints: <list>
- Roster objective: <first problem to solve>

Here is what I will install:
- Harness: <agents proposed by recruiter>
- KB draft: <proposed structure>
- Domain skills: <if missing>

Validate before I write anything.

Human gate: wait for explicit validation.

B4. Non-destructive install (after validation)

  1. Merge the harness (do not overwrite):
    • If existing team → recruiter Mode 2 (audit + upgrade)
    • If no team → recruiter Mode 1 (fresh, adapted to the project)
  2. Propose the KB in the terminal:
    • kb/spec.md draft inferred from existing code (README, docs, tests as source)
    • kb/properties.md with detected invariants + Q6 constraints
    • kb/risks.md with risks identified in B1 and B2-B3
    • Gate: "Here is the KB draft — shall I write it?"
  3. If a specific domain is detected without an adapted roster skill:
    • Ask: "Shall I create these skills now via skill-creator?"
    • If yes → spawn skill-creator if available (.claude/agents/skill-creator.md exists); otherwise manually describe the skill and open a roster issue.
  4. Create skills-meta/friction.jsonl (empty)
  5. Add skills-meta/ to .gitignore if absent
  6. Bootstrap episodic memory (non-destructive):
    [ -d memory ] && echo "memory/ exists — skipping" || mkdir -p memory/sessions memory/agents
    
    If memory/ does not exist: create it and write memory/index.md (same content as A4 step 9). If memory/ already exists: skip silently. Add kb/.index/ to .gitignore if not already present (LanceDB vector index — never committed).
  7. Create briefs/project-intake.md with project state and first objective
  8. Project the harness to runtimes

Brainstorming protocol

Triggered when an adversarial question reveals a fundamental problem and the user chooses option A.

  1. Announce the brainstorming subject (1 line)
  2. Ask 3 to 5 targeted questions on that specific subject — one at a time
  3. Synthesize the answers into an actionable conclusion
  4. Write the conclusion in:
    • kb/risks.md if it is a risk
    • kb/spec.md if it is a scope clarification
  5. Resume the interview flow where it was left off

When to Go Back

Condition Action
Onboarding reveals a deeper structural problem than expected Stop — surface findings to human before proceeding
.harness/ initialization fails (missing tools, permissions) Stop — report exact error, do not partially initialize

What Next

Primary path: /roster-run — pipeline is ready, start with a task Alternatives:

  • /roster-intake — if you already have a task in mind
  • /roster-skill-health — after first few runs, to capture early friction

💡 Run /roster-skill-health after your first 3–5 pipeline runs to capture early friction patterns.

Friction Log

{
  "date": "<ISO-8601>",
  "skill": "roster-init",
  "mode": "<greenfield|onboard>",
  "frictions": ["<friction 1>", "..."],
  "methods": ["<workaround used>"],
  "suggestion_type": "<skill|tool|adapt|agent|null>",
  "suggestion": "<description if suggestion_type non null>",
  "effort_estimate": "<small|medium|large>"
}

Rules

  • Never write to the repo before the human gate (validated synthesis)
  • Never overwrite an existing file without diff + confirmation
  • KB: proposed in the terminal, written only after explicit approval
  • Questions: one at a time, never as a list
  • If domain is ambiguous for skill creation → ask before spawning skill-creator
  • The metabolism starts here: friction.jsonl is the first file created
Install via CLI
npx skills add https://github.com/mathiasbourgoin/roster --skill roster-init
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