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Cross-cutting rule covering subagent hygiene:
- Decision table: parallel-safe (read-only investigation, independent
test failures, multi-domain research) vs sequential-with-review
(plan execution, coupled edits) vs never-parallel (concurrent writes)
vs don't-subagent-at-all (target known, work fits in ~10 tool calls).
- Prompt contract: scope / pasted context / explicit 'do NOT' list /
required output format. Missing any field yields shallow work.
- Context-pollution rule: subagents absorb noise the main thread
shouldn't carry. When one fails, dispatch a fix-agent with the
failure report — do not retry in the orchestrator.
- Review-gate cadence: after each sequential task, or every ~3 in
parallel batches.
- Anti-patterns including parallel implementation on overlapping
files, broad 'fix all the tests' prompts, timeout-tuning to mask
flakes, and letting the agent decide scope.
Added one-line cross-references to subagents.md from debug/,
review-code/, and finish-branch/ SKILL.md — the skills that most
rely on delegation.
Clean-room synthesis from NeoLabHQ/context-engineering-kit's
subagent-driven-development pattern (MIT).
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existing testing skills
Forked verbatim from omkamal/pypict-claude-skill (MIT). LICENSE preserved.
Renamed from `pict-test-designer` to `pairwise-tests` — technique-first
naming so users invoking "pairwise" or "combinatorial" find it; PICT
remains the tool under the hood.
Bundle (skill-runtime only):
pairwise-tests/SKILL.md (renamed, description rewritten)
pairwise-tests/LICENSE (MIT, preserved)
pairwise-tests/references/pict_syntax.md
pairwise-tests/references/examples.md
pairwise-tests/scripts/pict_helper.py (Python CLI for model gen / output fmt)
pairwise-tests/scripts/README.md
Upstream's repo-level docs (README, QUICKSTART, CONTRIBUTING, etc.) and
`examples/` dir (ATM + gearbox walkthroughs — useful as reading, not as
skill-runtime) omitted from the fork. Attribution footer added.
Cross-references so /add-tests naturally routes to /pairwise-tests when
warranted:
- add-tests/SKILL.md Phase 2 step 8: if a function in scope has 3+ parameters
each taking multiple values, surface `/pairwise-tests` to the user before
proposing normal category coverage. Default continues with /add-tests;
user picks pairwise explicitly.
- claude-rules/testing.md: new "Combinatorial Coverage" section after the
Normal/Boundary/Error categories. Explains when pairwise wins, when to
skip (regulated / provably exhaustive contexts, ≤2 parameters, non-
parametric testing), and points at /pairwise-tests.
- languages/python/claude/rules/python-testing.md: new "Pairwise /
Combinatorial for Parameter-Heavy Functions" subsection under the
parametrize guidance. Explains the pytest workflow: /pairwise-tests
generates the matrix, paste into pytest parametrize block, or use
pypict helper directly.
Mechanism note: cross-references are judgment-based — Claude reads the
nudges in add-tests/testing/python-testing and acts on them when appropriate,
not automatic dispatch. Craig can still invoke /pairwise-tests directly when
he already knows he wants combinatorial coverage.
Makefile SKILLS extended; make install symlinks /pairwise-tests globally.
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Additions to claude-rules/testing.md:
- Testing pyramid proportions (70-80% unit / 15-25% integration / 5-10% e2e)
- Integration Tests section: docstring must name 'Components integrated:'
and mark real vs mocked; when-to-write heuristics
- Signs of Overmocking: 'would the test pass if the function body was
NotImplementedError?' plus three more sharp questions
- Testing Code That Uses Frameworks: test your integration, not the
framework itself
- Test Real Code, Not Copies: never inline prod code into tests
- Error Behavior, Not Error Text: test type + key values, not exact prose
- If Tests Are Hard to Write, Refactor the Code: hard-to-test is a code
signal, not a test signal; extract focused helpers
- Anti-patterns list extended
Addition to languages/elisp/claude/rules/elisp-testing.md:
- Interactive vs Internal split pattern: cj/foo wraps cj/--foo; test the
internal directly, skip UI mocks
Source: ~/.emacs.d/ai-prompts/quality-engineer.org (personal reference,
kept as an extended prompt separate from these rules).
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New generic rule at claude-rules/commits.md covers author identity,
absence of Claude/Anthropic/LLM/AI attribution (messages, PRs,
comments, trailers, emojis), and conventional commit format. Applies
to all repos.
Bundle settings.json now sets attribution.commit: "" and
attribution.pr: "" so Claude Code's default attribution is suppressed
belt-and-suspenders with the written rule.
Elisp CLAUDE.md template trimmed to reference commits.md instead of
inlining the rules.
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claude-rules/testing.md is now language-agnostic (TDD principles, test
categories, coverage targets, anti-patterns). Scope header widened to
**/*. Python-specific content (pytest, fixtures, parametrize, anyio,
Django DB testing) moved to languages/python/claude/rules/python-testing.md.
Added languages/python/ bundle (rules only so far; no CLAUDE.md template
or hooks yet — Python validation tooling differs from Elisp). Added
install-python shortcut to the Makefile.
Updated scripts/install-lang.sh to copy claude-rules/*.md into each
target project's .claude/rules/. Bundles no longer need to carry their
own verification.md copy — deleted languages/elisp/claude/rules/verification.md.
Single source of truth in claude-rules/, fans out via install.
Elisp-testing.md now references testing.md as its base (matches the
python-testing.md pattern).
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Skills (adapted from DeepSat, stripped of project-specific references):
- /review-pr: PR review against engineering standards
- /fix-issue: issue-to-merge TDD workflow
- /security-check: secrets, OWASP, and dependency audit
- /debug: systematic 4-phase debugging
- /add-tests: test coverage analysis and generation
- /respond-to-review: evaluate and implement code review feedback
Rules (general-purpose, copied as-is):
- testing.md: universal TDD standards and anti-patterns
- verification.md: proof over assumption
Makefile updated to install both skills and rules via symlinks.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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