Skills approach
Agent Layer skills are meant to be deterministic, reusable workflow modules with stable input and output contracts. A root skill should do one kind of work well, produce a predictable handoff, and avoid owning orchestration loops that belong in higher-level workflows.
For the evidence behind this shape, use the universal best-practice guides: Skill Design, CLI Skill Design, and Instruction Design. This page is Agent Layer-specific: it describes the ethos and target model for the bundled skill system.
Design ethos
Deterministic modules, not improvisation. A skill should make the same contract available every time: accepted inputs, required artifacts, stop conditions, verification expectations, and final handoff shape. The agent still uses judgment inside the task, but the module boundary should be stable.
Root skills own one step. Planning, review, implementation, fixing, and verification are different jobs. Keeping them separate improves activation, reviewability, and reuse.
Root skills are hermetic. A root skill must not call, route to, or depend
on another skill, and its body should not reference other skills as next steps,
alternatives, or implementation dependencies. Cross-skill composition belongs
only in workflow skills. A root skill may reference Agent Layer system sources
of truth, such as COMMANDS.md, only when that source is necessary to execute
its own contract.
Workflows own loops. Iteration, delegation, retry policy, multi-agent coordination, and phase-to-phase orchestration belong in workflow skills. Root skills should be callable by many workflows without smuggling in a full lifecycle.
Evidence over assertion. Skills should push agents toward observable evidence: read the code, inspect the diff, run documented checks, write or use real artifacts, and state what was verified.
Checkpoints for real decisions. Human checkpoints should be narrow and explicit: architecture tradeoffs, destructive operations, external writes, scope changes, or missing required input. The normal path should be autonomous.
Target root skill model
These names are the conceptual target root modules. They are not all current bundled skill names yet.
| Target root module | Stable contract | Current implementation mapping |
|---|---|---|
write-plan | Turn a requested change into implementation-ready plan, task list, and context artifacts. | plan-work |
review-plan | Review plan artifacts before implementation and report blocking gaps, weak assumptions, and missing verification. | review-plan |
implement-plan | Execute an approved plan against the codebase and verify the result. | implement-plan |
review-code | Review explicit files, diffs, directories, or uncommitted changes and produce prioritized findings. | review-scope |
fix-code | Triage accepted findings or open issues, implement root-cause fixes, and record what changed or remains deferred. | resolve-findings; issue-led repair currently lives in the broader fix-issues workflow |
verify-work | Compare completed work against the plan or request and report completeness, regressions, missing checks, and scope drift. | verify-against-plan |
The current names are the truth for invocation today. The target names describe the desired stable module boundaries as the skill library evolves.
Workflow skills
Workflow skills compose root skills and own loops. They decide sequencing, delegation, retry behavior, and when to move between phases.
Current examples:
complete-current-phaseorchestrates roadmap work through planning, implementation, verification, auditing, and cleanup.ship-prowns the pull request lifecycle, including audit, commit, push, CI monitoring, reviewer feedback, and final status checks.improve-codebasedecomposes broad quality work into reviewable chunks, runs review and fix loops, and delegates to narrower skills when useful.fix-issuesworks throughISSUES.mdby batching, planning, implementing, auditing, and keeping the ledger current.
Because workflows own orchestration, root skills should stay boring and
portable. A workflow can call review-code several times with different
scopes; review-code should not decide the whole project lifecycle.
Contract expectations
A root skill should define:
- Inputs it accepts, including file paths, artifacts, issue identifiers, or plain-language scope.
- Output artifact or report shape, so another skill or workflow can consume it.
- Any required system source of truth, with a reason the root skill cannot do its own job without it.
- Stop conditions for missing required input, incompatible state, or user decisions.
- Verification expectations appropriate to its job.
- Final handoff fields that are stable enough for follow-up automation.
A root skill should avoid:
- Hidden mode switches that change the main output contract.
- Calling or naming other skills as part of its own procedure.
- Product-wide orchestration loops.
- Broad "ask when uncertain" fallbacks.
- Duplicating evidence and best-practice rationale already maintained in the universal guides.
Relationship to universal guides
The universal guides are the evidence base. This page is the Agent Layer design choice built on top of that evidence.
- Use Skill Design for portable guidance on routing, progressive disclosure, section ordering, evaluation, and context budget.
- Use CLI Skill Design when a skill routes agents to an installed command-line tool.
- Use Instruction Design to keep always-loaded instructions separate from workflow-specific skill behavior.