adk-expert
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Bootstrap or harden a project's operating model for mixed human and AI delivery teams. Use when starting a repository, adopting an agent harness, defining authority and risk tiers, coordinating parallel agents safely, binding evidence and review to an exact candidate, or
$ npx -y skills add jpantsjoha/ai-native-developer-experience --skill operating-model-bootstrap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/operating-model-bootstrapContext preview
The summary Claude sees to decide when to auto-load this skill.
Bootstrap or harden a project's operating model for mixed human and AI delivery teams. Use when starting a repository, adopting an agent harness, defining authority and risk tiers, coordinating parallel agents safely, binding evidence and review to an exact candidate, or
name: operating-model-bootstrap description: Bootstrap or harden a project's operating model for mixed human and AI delivery teams. Use when starting a repository, adopting an agent harness, defining authority and risk tiers, coordinating parallel agents safely, binding evidence and review to an exact candidate, or correcting fragmented rules that prevent coherent, consistent, complete delivery.
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Establish a portable operating kernel and one tracked project profile. Treat humans, agents, skills, tools, and gates as one delivery system with explicit authority, ownership, evidence, and completion semantics. The day-one seed lets a new team begin system design and delivery planning while explicitly owned project unknowns are resolved.
The bootstrap must establish or explicitly own each of the following. Required areas must be answered before the profile leaves `seed` state. Optional areas have a recommended default; record `not yet established — owner: role; required before: trigger` for any unknown rather than leaving it blank or fabricating a value.
| # | Area | Status | Default if not declared | |---|---|---|---| | 1 | Product vision, objectives, actors, scope, out-of-scope, SOW / acceptance record | **Required** | None — must be declared | | 2 | Team roster: PO, SMEs, integration owner, reviewer roles, escalation path | **Required** | None — must be declared | | 3 | Technical stack: language, framework, architecture, repos, interfaces, runtime | **Required** | None — must be declared | | 4 | Tooling: package manager, linter, type checker, unit / integration / e2e test commands | Optional — recommended defaults | Linting + validation + unit tests minimum | | 5 | Cloud, hosting, data classification, residency, compliance, approved-vendor constraints | Optional — advised | Deduced from stack; invoke `governance-guardrail` to confirm policy alignment | | 6 | Automation: CI/CD, branch policy, release process, deployment owner, rollback | Optional — default provided | GitHub SemVer + tag-based releases; invoke `release-manager` to document and confirm | | 7 | Delivery controls: source of truth, issue/PR conventions, DoD, escalation triggers | Optional — default provided | GitHub stack; this repository's issues, ADRs, and architecture docs are the source of truth |
When adopting into a repo that already has code, do not present a blank seven-area form. Run the read-only inspection pass to pre-fill what the repository already reveals:
python3 .agents/skills/operating-model-bootstrap/scripts/inspect_repo.py .
It reads manifests, tool configs, CI, `CODEOWNERS`, and docs, and prints **inferred** findings — each a machine guess with an evidence pointer and the exact `inferred — source: <evidence>; confirm: <role>` marker to paste into the profile. Rules:
promote it to a verified fact.
becomes a plain verified value. The profile cannot go `active` while any `inferred` field remains (the validator enforces this).
*candidates* only; role and accountability stay `unknown` until a human assigns them.
The initializer script seeds structure, not decisions. Running `bootstrap` (or the `init` command, which runs `bootstrap` first) creates these records with template content to be grounded from verified project evidence:
seven-area answers above.
unpopulated. The team adds dates as the Product Owner confirms them.
`AGENTS.md` / `CLAUDE.md` / `GEMINI.md` adapters.
The script seeds structure; the agent records the decisions. As part of the bootstrap workflow, capture the choices made during init as durable, referenceable authority:
convention (`ADR/ADR-0000-baseline-structure-DRAFT.md`, approved to `-approved.md`; see `the-architect`), capturing every choice confirmed or deferred during init, with the owner and resolving trigger for each explicit unknown. This is the authority record for the starting structure.
event and the open unknowns. This records what happened, not invented progress; roadmap outcomes stay unpopulated until the Product Owner validates them.
Do not fabricate answers to populate any of these files. An honest `unknown — owner: X; required before: Y` is better than a plausible-sounding invention that will mislead every agent that later reads the profile.
The operating model is model-, vendor-, and IDE-agnostic. Thin surface adapters only make the same contract discoverable and invocable. They may not change authority, risk,
A team-project AI harness bootstrap that gives humans and agents a shared operating contract from day one, moving AI leverage from an individual “IC superhero” advantage to a repeatable team capability on an equal playing field.
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