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Groundwork

Groundwork is a methodology plugin for runa, a cognitive runtime for AI coding agents. It encodes opinions about how software should be built into protocols, skills, and artifact schemas that a runa instance orchestrates. It is not a runtime, a CLI, or a framework — it is a methodology definition.

Groundwork serves teams that use AI coding agents for software delivery. It connects the stages from problem framing through shipped change so that agent work traces from requirement to merged code, completion claims require evidence, and progress survives session boundaries.

For what methodology plugins are and how runa executes them, see runa's core concepts.

The Shape of the Methodology

Work moves through two phases connected by the work-unit artifact.

Planning takes an external request and produces work-units. Survey examines what actually needs doing; decompose breaks that into work units with acceptance criteria and dependency edges.

Execution takes one work-unit and carries it through to a merged increment: take claims the work-unit and opens the session → specify writes the behavior contract as Given/When/Then scenarios → plan converges on a decision-complete design → implement executes through RED-GREEN-REFACTOR → verify gates completion with evidence → document ensures accuracy → submit packages the change → land merges and closes the loop.

Each protocol produces an artifact that the next protocol requires. → docs/architecture/connecting-structure.md

Skills operate across the topology as cross-cutting disciplines and stage-specific judgment:

  • orient — the methodology map that connects protocols and skills
  • reckon — first-principles reasoning when creating or analyzing
  • debug — root cause investigation when failures appear
  • resolve — structural friction resolution when obstacles impede
  • research — external evidence gathering when facts are missing
  • contract — behavior traceability through execution
  • code-review — review judgment for submitted change proposals

Not every piece of work needs every stage. A bug with an existing work-unit enters at execution. A new capability enters at planning. The constraint is sequence, not completeness. → skills/orient/SKILL.md

For how runa orchestrates this topology at runtime, see the interface contract.

Interactive Installation

Runa-served agents consume Groundwork through the methodology mount. Interactive Claude Code and Codex sessions can install the same skills and protocols into their local discovery directories from a pinned Groundwork checkout:

git checkout --detach v0.2.0
scripts/groundwork-install install

The first release containing scripts/groundwork-install is v0.2.0.

The installer writes user-owned entries only, with no root or sudo requirement:

  • ~/.claude/skills/{name}/
  • ~/.agents/skills/{name}/
  • ~/.groundwork/

Every directory under skills/ is copied as a skill entry. Every directory under protocols/ is copied as a skill-shaped entry with PROTOCOL.md projected to SKILL.md and an interactive artifact delivery adapter inserted near the top of the installed protocol. The adapter tells an interactive agent how to present the produced artifact body to the human instead of calling the runa MCP artifact tool. Installed entries are copies, not source-checkout symlinks, so later changes to the checkout do not drift into the active discovery surface.

When manifest.toml, mechanics/, and the forge-operation resolver are present, the installer also projects a managed runtime bundle under ~/.groundwork/. The bundle contains the manifest, mechanic library, resolver module, and bin/groundwork-mechanic, so installed protocol sessions can resolve forge-invariant operations through the active GROUNDWORK_FORGE_TYPE configuration without reaching back into the source checkout. Installed protocol copies reference the managed resolver path directly, so users do not need to add ~/.groundwork/bin to PATH.

The early-arc tracker operations are forge-invariant at the call site and forge-tagged in the mechanic library: create-ticket, read-ticket, claim-work-unit, and record-progress resolve to either GitHub issue mechanics or SourceHut ticket mechanics. Ticket creation emits the forge-assigned identity needed for a work-unit.handle: GitHub emits forge_tag, issue url, and issue number; SourceHut emits forge_tag, tracker_id, and ticket number. The mechanics validate the expected API or GraphQL result field before accepting a response, so an HTTP- or CLI-successful response that contains application errors or omits the expected operation result is rejected.

Secret mechanic parameters must be bound from an environment variable rather than from NAME=VALUE argv bindings. For example, pass --secret-env token=WEFORGE_OPERATOR_PAT to bind a secret token parameter from the current process environment without placing the secret value in the resolver command line.

Forge deployment identity is also supplied by environment contract, not by mechanic call-site bindings. Mechanics mark deployment-resolved parameters with deployment_value, and groundwork-mechanic derives those values from these atoms:

Variable Holds Example Forge-assigned?
GROUNDWORK_FORGE_TYPE active forge selector, defaulting to github sourcehut no
GROUNDWORK_FORGE_ENDPOINT deployment host used to derive service hosts weforge.build no
GROUNDWORK_FORGE_OWNER tracker/repo owner handle operator no
GROUNDWORK_FORGE_NAME tracker/repo name weforge no
GROUNDWORK_FORGE_TRACKER_ID tracker integer ID 4 yes
GROUNDWORK_FORGE_REPO_ID git repo integer ID 42 yes

For SourceHut, the resolver derives todo_query_url as https://todo.<endpoint>/query, git_query_url as https://git.<endpoint>/query, and ssh_remote as git@git.<endpoint>:~<owner>/<name>, while tracker_id and repo_id come directly from their atoms. For GitHub, it derives repository as <owner>/<name>. The atoms are the only deployment facts; composed endpoints and remotes are not separate configuration values.

The cross-repo seam for this ticket identity is documented in docs/architecture/connecting-structure.md. Groundwork owns the schema-as-contract shape of work-unit.handle, the mechanics that produce handles from active deployment identity, and the decompose delivery rules. runa owns scoped runtime enforcement: exact recorded --work-unit ids, tracker-handle consistency, duplicate-root rejection, and active deployment agreement. Cross-deployment work is composed from separate sessions; a handle never overrides the active deployment.

The source checkout must be clean and pinned at a tag or full commit SHA. The command refuses branch checkouts because a branch is a moving source. To update to a different pinned Groundwork version, check out that ref and run:

scripts/groundwork-install sync

sync converges the discovery directories to the new pinned source, including removing entries that no longer exist upstream. scripts/groundwork-install status reports the recorded install state, and scripts/groundwork-install uninstall removes only entries the command created.

Methodology authors who develop Groundwork itself and want their working branch reflected in the live discovery surface can pass --from-branch to install or sync the current branch HEAD instead of a detached pinned ref:

scripts/groundwork-install sync --from-branch

The checkout must still be clean — --from-branch relaxes only the pinned-ref requirement, not the clean-checkout requirement, so the recorded source-sha always identifies a real commit. Because a branch is a moving source, this is an opt-in for development; the default still requires a pinned tag or commit SHA.

Ownership is tracked in both a per-entry marker file and an XDG state file at ${XDG_STATE_HOME:-~/.local/state}/groundwork-install/interactive-install.tsv. Pre-existing entries, including unofficial symlinks with the same names, are reported as unmanaged conflicts rather than overwritten or adopted. When the state file records ownership but the marker is missing at a deletion boundary, the command fails and leaves state intact so the operator can inspect the disagreement before anything irreversible happens.

Prerequisites are the stock command-line tools expected on Fedora CoreOS for this workflow: bash, git, and POSIX file utilities such as cp, find, mkdir, mv, and rm.

Conformance Checks

Run the narrowed Step 1 methodology conformance runner with:

python -m tooling.conformance

By default it checks manifest.toml, source-tree workflow contracts and mechanics when those directories exist, and all JSON Schema definitions under schemas/. Pass files or directories as arguments to check explicit C-2/C-3/C-4/C-5 units and aggregate all failures before returning a non-zero exit status. Directory arguments use the same discovery rules as the default runner: manifest.toml, workflow-contracts/ and mechanics/ TOML units, plus schemas/*.schema.json. Explicit file arguments that do not classify as conformance units still fail loudly.

The C-5 manifest check validates the outcome-routing substrate used by required-choice protocol outputs: top-level [[outcome_types]] entries must resolve to declared artifact types, [[protocols.required_output_choices]] members must be registered outcome types, and successor triggers that route on an outcome must use on_artifact, while successor triggers must not target a disposition-agnostic output of an outcome-bearing protocol through any trigger form or composite trigger.

It also validates forge-tagged C-3 mechanic bindings. When a manifest [[mechanics]] entry declares forge_tags = [...], each tag must resolve to [[forge_tags]] and exactly one mechanics/**/*.toml file whose name and forge_tag match that operation/tag pair.

What Groundwork Believes

These are the methodology choices embedded in groundwork's protocols and skills. Each traces to the file where it lives.

How work is understood

The work-unit graph is working memory. Agent sessions end, context windows close, agents rotate. The work-unit graph is the persistence layer that survives those boundaries. Multi-session progress depends on the graph, not on agent memory. → docs/architecture/work-unit-model.md

Sovereignty. Every handoff passes outcomes — what must be true — never implementation steps. Work-units define acceptance criteria, not procedure. Plans define interfaces and decisions, not scripts to follow. → protocols/decompose/PROTOCOL.md

How work is executed

Behavior is the thread. The behavior contract written during specify traces through every subsequent stage. Plans link design decisions to behavior scenarios. Tests verify named scenarios. Verification cites behavior-level evidence. Landing records what coverage shipped. → protocols/specify/PROTOCOL.md, skills/contract/SKILL.md

Evidence before assertion. No completion claims without fresh verification evidence. No fixes without root cause investigation. No implementation plans without grounded constraints. → protocols/verify/PROTOCOL.md, skills/debug/SKILL.md

Test-driven execution. No production code without a failing test first. Each test fails first, and for the right reason. Only the minimum code to pass gets written. Code written before its test gets deleted and restarted. → protocols/implement/PROTOCOL.md

Code is ground truth. When documentation and code disagree, code behavior is descriptive truth. Documentation is a claim that must be verified against the code. → protocols/document/PROTOCOL.md

Documentation obligation. User-facing changes carry documentation requirements. Documentation ships in the same PR as the code that caused it. Drifted documentation compounds. → protocols/document/PROTOCOL.md, skills/orient/SKILL.md

How obstacles are handled

Root cause before fixes. No fix without an established root cause. After three failed fix attempts, the architecture is under question, not the symptoms. → skills/debug/SKILL.md

Friction is structural. Workarounds compound debt. Operational friction — a missing tool, broken configuration, stale convention — gets resolved structurally before work continues. Friction that exceeds side-quest scope becomes a work-unit. → skills/resolve/SKILL.md

What the Repo Contains

Path Contains
manifest.toml Manifest: artifact types, protocol topology, trigger conditions
protocols/ Protocol definitions for methodology stages
skills/ Skills for orientation, cross-cutting disciplines, and stage-specific judgment
schemas/ JSON Schema contracts for artifacts and authoring substrates
tooling/ Authoring-time parsers and validators
docs/architecture/ Topology design rationale and work-unit state model
docs/authoring/ Follow-direct guides for methodology authors

For how these pieces compose into a methodology plugin, see runa's methodology authoring guide.

License

MIT

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Open-source contributor methodology for AI agents. The first methodology plugin for runa.

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