adopt-existing · git:20261006.fa6eac5 · 2026-10-06 · sha256 4c2250c3694dbf1f
adopt-existing git:20261006.fa6eac5A
Immutable. This exact content never changes and is served at /api/v1/blob/4c2250c3694dbf1f.
--- name: adopt-existing description: Source-first growth of an existing single- or multi-repository project into CYPRESS's unified docs/graph knowledge system. Use from initialize when code already exists, or for a graph refresh after material code changes. Scout executable evidence, model subsystem nodes, build project-specific architecture/product/API/data/dependency/prompt/operations leaves, connect them for progressive discovery, and validate navigation. Never trust centralized prose without source corroboration, invent specs or ADRs, modify application files, run application builds, or push Git. id: skill.adopt-existing tier: 2 kind: skill origin: seed title: adopt-existing — grow an existing codebase into the docs/graph knowledge plant, source-first owns: - adopt-existing.method - adopt-existing.refresh - adopt-existing.validation requires: - protocol.grow peers: - protocol.initialize - skill.knowledge-graph - protocol.from-scratch load_when: - "adopt an existing codebase into the graph" - "initialize cypress on a project that already has code" - "refresh the knowledge graph after material code changes" - "onboard a multi-repo or monorepo project" - "build docs/graph for existing source" artifacts: - templates/prompts/graph-session-bootstrap.md - templates/prompts/handback-payload.md prevents: An adoption with no way back — a graph authored once from a snapshot of the code, with no refresh path when the source moves under it, so it decays into a confident description of a repository that no longer exists. est_tokens: 1780 --- # Adopt an existing project Turn a generic installed seed into a project-specific knowledge plant. Follow `docs/graph/protocols/initialize.md`; this skill supplies the existing-project discovery and authoring discipline. ## Invariants - `docs/graph/` is the only maintained knowledge root. The router, nodes, LLM wiki, provenance, plans, runbooks, contracts, and deep dives are layers of this one graph (`rule.knowledge`). - Executable source outranks prose. Manifests, entry points, routes, schemas, migrations, config, deployment, tests, CI, prompts, and evals are primary evidence. Existing docs are corroborating evidence only. - Make additive knowledge changes. Preserve application code and unrelated existing files. Leave competing AI configurations in place; deleting or relocating one is the owner's call. - Adoption ONLY records build and test commands: extract each exact command and label it `discovered, not executed`. An inherited suite stays untrusted until proven RED by mutation (`docs/graph/protocols/test-first.md`), so record it as discovered. - Git stays read-only: record the repository revision as provenance; fetch, pull, switch, commit, and push each need a separate explicit request. - Record observed behaviour and observed choices as node facts. Specs and ADRs record intent, which only an existing record or the owner supplies. Unknown means unknown. ## Scout pass Establish the governed boundary first: one repo, workspace/monorepo, or an umbrella of sibling repos. For each repository record path, branch, HEAD, worktree state, role, manifests, stack, and the natural language of its identifiers and domain vocabulary. A non-English (or otherwise non-default) language is an explicit graph fact, because downstream agents grep and reason in it and an unrecorded mismatch silently defeats every later search. Boundaries follow capabilities, not repository count. Inventory cheaply, excluding generated/vendor/cache/build output. Then open the smallest authoritative files needed to trace: 1. bootstrap and runtime entry points; 2. module/service/package boundaries and imports; 3. inbound APIs, messages, scheduled work, and outbound integrations; 4. entities, schemas, migrations, storage, and data movement; 5. config/secrets interfaces, deployment, and observability; 6. tests, CI, scripts, prompts, evaluations, and operational commands; 7. direct dependencies and evidence of their actual usage. Return facts with exact paths and symbols. Find source corroboration for each claim prose makes, or record it as untrusted/unverified; repetition across central docs adds no corroboration. Every delegated worker's brief embeds the canonical block from `docs/graph/templates/prompts/graph-session-bootstrap.md`. ## Librarian pass Normalize the evidence into single fact owners: - configure `ROOT_ID` and `KINDS` in `docs/graph/graph-lint.py`; - author a root node and capability/subsystem nodes; - factor shared stack, platform, data, domain, and cross-cutting facts into their own nodes only where this reduces duplication; - give nodes concrete `load_when` triggers and source paths; - keep `requires` minimal and acyclic; use `peers` for boundaries, and `composes` where an `expertise.*` node offers sub-expertises the router should descend into only when the task names one; - link detailed leaves using `artifacts:` and dependency wiki pages using `libraries:`. Then enrich the leaf collections under `docs/graph/`: | Collection | Source-grounded content | |---|---| | `product/` | actors, capabilities, flows, observed constraints | | `architecture/` | context, components, runtime flows, integrations, sharp edges | | `api/` | observed HTTP/RPC/event/job contracts with code locations | | `data/` | ownership, schemas, persistence, migrations, lineage | | `libraries/` | all direct deps indexed; critical deps richly wikified | | `sources/` | provenance for external information actually used | | `prompts/` | discovered prompt contracts, versions, and call sites | | `evaluations/` | discovered datasets, rubrics, gates, and failure modes | | `runbooks/` | exact operational and verification commands, with status | | `plans/` | evidence gaps, drift/backfill work, next useful increment; when the project is automation that converges live systems, a backfill increment that imports the records those systems already hold as an unmanaged baseline, promoted one at a time by owner decision (`design-posture.converge-on-drift` owns the rule). The plan names the increment; the adoption pass does not write it | | `best-practices/` | conventions demonstrated by this project | Keep `specs/` and `decisions/` indexes, and fill them only from genuine intent records that already exist and can be preserved with provenance. Put implementation observations in nodes or architecture leaves. When the sweep confirms zero test or gate infrastructure, write an `absent (YYYY-MM-DD) — <reason>` row for each standard gate in the verification runbook: a blank runbook is indistinguishable from one nobody checked, and a row for each gate turns an unknown into a stated finding. When a legacy or parallel documentation source predates and conflicts with the evidence-derived graph, give the exclusion a real, routable node that states (a) the source is excluded as evidence, (b) what supersedes it, and (c) that this is a trust/evidence decision only: the artifact itself stays untouched (Invariants). A silent skip reads to a later agent as no decision, and the artifact gets re-trusted. The Handoff's excluded-docs report then points at this node rather than standing in for it. An agent-operations system is not such a source: `protocol.grow` Phase 4 says what each of its parts yields. ## Dependency wiki depth Index every direct dependency from manifests. Create a detailed library page during initialization when the dependency is architecturally significant, security/operations critical, unusual, or used across several subsystems. Each page answers how this project uses it, where configuration lives, relevant constraints, sharp edges, and verification status. Installed versions come from manifests/locks. Upstream lifecycle, compatibility, or current guidance requires a primary upstream source; otherwise mark it pending rather than guessing. Record consulted sources in `docs/graph/sources/`. ## Refreshing an existing graph Treat graph prose as a read model to verify against current source: 1. compare repository revisions with the graph changelog/provenance; 2. scout changed areas and their dependency/data/API blast radius; 3. update the existing fact owner instead of creating a duplicate; 4. preserve valid hand-authored context; 5. remove or supersede stale seed-owned claims only with cited contrary evidence; 6. record conflicts and unanswered questions in the plan. Report a refresh as partial, naming each unavailable source, whenever part of the governed source was out of reach. ## Validation Run knowledge checks only: ```sh python3 docs/graph/graph-lint.py python3 docs/graph/graph-lint.py --plan "change a representative capability" ``` Verify all graph links resolve; every Tier-3 leaf is reachable from an owning node; no duplicate fact homes exist; representative task routes are small and relevant; commands say whether they were executed; the verification runbook carries the absent-gate rows where no infrastructure was found (Librarian pass); and no template placeholders, fabricated success, inferred specs, or invented rationale remain. Use known-answer navigation questions from several capabilities plus an adversarial false-premise question. A wrong or bulk-read answer is a graph defect: improve ownership, routing, or leaf content and rerun, for at most two fix-and-rerun rounds per defect; with the authoring pass they are the three attempts `docs/graph/protocols/recover.md` allows. A defect that survives them goes to the user as an honest unknown. ## Handoff (the stopping condition) Adoption is done when validation passes within its bounded rounds and the open defects are recorded; completeness is measured by reliable progressive discovery. End with the payload from `docs/graph/templates/prompts/handback-payload.md`, and report: repository revisions, evidence inspected, graph artifacts created or refreshed, validation outcomes, docs deliberately excluded as untrusted (each named by its exclusion node), remaining unknowns, and one highest-leverage next action with its tier.