run-feature-workflow

SkillDev tools

Run Feature Workflow

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the run-feature-workflow skill

What this skill tells your AI

The instructions your AI receives, as published by markmhendrickson/neotoma in .claude/skills/run-feature-workflow/SKILL.md and read by ahel’s review.


name: run-feature-workflow description: Run feature workflow per foundation command. triggers:

  • run feature workflow
  • /run_feature_workflow
  • run-feature-workflow

Run Feature Workflow

feature_id = {{input:feature_id}}

Configuration is read from foundation-config.yaml.

  1. Load configuration:

    • Read foundation-config.yaml to get feature unit settings
    • Determine directory structure, manifest complexity, testing requirements
  2. Read authoritative documents:

    • foundation/development/feature_unit_workflow.md (workflow context)
    • {configured_directory}/in_progress/{{input:feature_id}}/{{input:feature_id}}_spec.md (or completed/ if completed)
    • {configured_directory}/in_progress/{{input:feature_id}}/manifest.yaml (or completed/ if completed)
    • foundation/development/templates/feature_unit_spec_template.md
    • Repository-specific execution instructions (if they exist)
    • Repository-specific architecture/module documentation (based on spec)
  3. Determine risk level:

    • low → skip plan
    • medium → produce brief structured plan
    • high/critical → produce detailed plan and wait for user approval
  4. Apply Feature Unit execution principles:

    • Update spec/manifest if ambiguous
    • Update code/tests/docs together
    • Follow architectural invariants (from repo-specific docs)
    • Preserve accessibility and i18n rules (if applicable)
  5. Run tests (based on configuration):

    • Unit tests (if testing.require_unit_tests: true)
    • Integration tests (if testing.require_integration_tests: true)
    • E2E tests (if testing.require_e2e_tests: true)
    • Verify coverage meets configured targets

    If any tests fail:

    • Immediately invoke Fix Feature Bug with feature_id={{input:feature_id}}
    • Do NOT attempt to fix bugs inline
    • Let the error protocol classify and correct
    • After bugfix completes, re-run the test suite
    • Only proceed to step 6 once all tests pass
  6. Apply error protocol (if repository has one) only if bugs were encountered and fixed via step 5.

  7. Spec-to-Implementation Diff Checkpoint (CRITICAL):

    Before producing the final summary:

    • Compare the implemented code against the spec
    • List any ways implementation intentionally diverged from spec (even if small)
    • For each divergence:
      • Either update the spec to reflect the change (if divergence is intentional and correct)
      • Or mark the divergence as a bug to be fixed (if divergence is unintentional)
    • Present this diff to the user:
      • "Implementation vs Spec Diff: [list of divergences]"
      • "For each divergence, should I update the spec or fix the implementation? (spec/implementation/list)"
    • Do NOT proceed to final summary until spec and implementation are aligned (either by updating spec or fixing implementation)
  8. Produce a final change summary:

    • feature_id
    • files changed
    • risk
    • error_class (if bugfix)
    • tests run
    • coverage achieved

Inputs

  • feature_id (string): The feature_id to work on.

Signals

GitHub stars
32
Forks
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
run-feature-workflow
Source
github.com/markmhendrickson/neotoma