Files
document-haness/docs/_design/2026-08-28-refactoring-from-analysis.md
T
DongHyeonkaandClaude Opus 5 b2963105a8 docs(keycloak-session-store): import the session-storage lab as a new project
The keycloak project ended with four open questions that design could not
settle. A two-VM lab was built to answer them by measurement, and this is
that material: 26 experiments, 125 raw command outputs, 22 browser captures.

Follows the import procedure in README.md.

  source/     the originating repository verbatim — 78 documents, 28 SVGs,
              8 manifests, plus .source-revision recording the commit
  final/      the SSOT
    document.md   729 lines written from the 29 experiment documents, not
                  concatenated: what was predicted, what was measured, and
                  where the measurement itself was wrong
    evidence/raw    125 outputs, flattened to <experiment>__<file> because
                    the originals collided (01-baseline.txt appeared three
                    times) and the audit only globs the top level
    evidence/meta   one per raw file; command and exitCode are null and the
                    README says why rather than inventing them
    evidence/browser  22 captures
    assets/       three diagrams through techviz
    .techviz/     their VizSpecs

A separate project rather than an addition to keycloak: the B-layer answers
that project's four questions, but the A, C and D layers are about cluster
failure, SSO and operations, and one document.md should hold one subject.
The four question records there can point here through 관계.

Recorded rather than papered over: only three of the 28 diagrams were
remade. The repository forbids hand-drawn SVG and forbids titles inside the
canvas; all 28 originals carry both, so converting them is redrawing, not
reformatting. They stay in source/ and the gap is written into the document.

verify-pipeline.py passes. audit-records.py reports no issues.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-04 22:51:59 +09:00

3.0 KiB

Refactoring From Analysis Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [x]) syntax for tracking.

Goal: Add a durable, type-directed refactoring workspace whose performance items require retained baseline and after evidence.

Architecture: refactor-queue.yaml orders bounded items, while /shared/refactor-detail/<project>/<item>/work-item.json owns detailed item metadata and evidence references. A dedicated verifier enforces type-specific hard gates, especially the performance baseline/after contract.

Tech Stack: Markdown/YAML/JSON, Python unittest, existing /shared workspace.

Spec: docs/superpowers/specs/2026-08-28-refactoring-from-analysis-design.md

Global Constraints

  • Application source remains read-only during documentation/refactor planning.
  • Performance claims require retained raw baseline and after evidence under equivalent conditions.
  • Existing documentation and user files must not be deleted or reset.
  • No legacy workspace dependency may be introduced.

Task 1: WorkItem evidence verifier

Files:

  • Create: tools/verify_refactor_work_item.py

  • Test: tools/tests/test_verify_refactor_work_item.py

  • Step 1: Write failing tests for type validation and performance evidence gates

  • Step 2: Run tests and observe missing verifier failure

  • Step 3: Implement the verifier

  • Step 4: Run verifier tests green

Task 2: Refactoring skill and contracts

Files:

  • Create: .agents/skills/refactoring-from-analysis/SKILL.md

  • Create: .agents/skills/refactoring-from-analysis/references/work-item-contract.md

  • Create: .agents/skills/refactoring-from-analysis/references/type-strategies.md

  • Create: .agents/skills/refactoring-from-analysis/references/performance-evidence-contract.md

  • Create: .agents/skills/refactoring-from-analysis/references/evidence-contract.md

  • Step 1: Encode queue eligibility and one-bounded-item rule

  • Step 2: Encode type-directed execution and verification

  • Step 3: Encode performance evidence hard gate

Task 3: Durable queue/detail templates

Files:

  • Create: /shared/codebase/refactor-queue.yaml

  • Create: /shared/refactor-detail/README.md

  • Create: /shared/refactor-detail/_templates/work-item.json

  • Create: /shared/refactor-detail/_templates/plan.md

  • Create: evidence and verification template directories

  • Step 1: Create queue SSOT

  • Step 2: Create WorkItem/evidence templates

Task 4: Pipeline integration and verification

Files:

  • Modify: AGENTS.md

  • Modify: tools/verify_pipeline.py

  • Modify: tools/tests/test_verify_pipeline.py

  • Step 1: Add refactor paths to pipeline verification

  • Step 2: Add instructions for the new stage

  • Step 3: Run all verifier and terminal renderer tests

  • Step 4: Run live workspace verification