Commit Graph

11 Commits

Author SHA1 Message Date
Safi 097b50a5d1 give the test job full git history and lock tomli for 3.10
test_skillgen.py (added in #1121) reads pre-split skill bodies from the
immutable baseline commit via `git show`, and on Python 3.10 imports tomllib
via the tomli fallback. The test job used a shallow checkout (no baseline tree)
and the lock didn't carry tomli, so the 3.10 job failed two ways. Add
fetch-depth: 0 to the test job (mirroring skillgen-check) and lock tomli under
the python_version < 3.11 marker so --frozen sync installs it.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-02 21:33:35 +01:00
Soham Patankar fbe1e9977f feat(skills): progressive-disclosure split for all platforms (generator + drift fence) (#1121)
All-platform progressive-disclosure skill split + generator (addresses #1106).

Splits each platform's skill into a lean core (~615 lines, full default pipeline inline) + on-demand references/, generated from a single source via tools/skillgen with a CI/pre-commit drift gate. 13 hosts split, aider/devin stay monoliths. Also fixes the stale bare-path bugs across the previously hand-maintained variants and moves the always-on blocks into packaged markdown.

Verified: all 5 generator guards pass, byte-verbatim load-bearing slices, lean cores self-sufficient on the default path across all 13 split hosts, references gated to non-default branches, description preserves the graphify-out-query-first clause. Supersedes #1119 (Claude-first subset).

Known follow-up applied on top: harden _always_on() against a missing packaged file so a partial install can't brick the CLI.
2026-06-02 20:48:13 +01:00
Safi 7c12499783 chore: install all extras in CI to catch test gaps
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-28 14:53:45 +01:00
Brian K 244a266c06 chore: switch CI to uv, remove uv.lock from gitignore (#885)
* chore: declare pytest as a uv dev dependency

The contributing guide currently tells contributors `pip install pytest`
as a separate step, and CI does the same. Move pytest into PEP 735
`[dependency-groups]` so it's declared in pyproject.toml and `uv sync`
installs it by default (no `--with` workaround, no separate install
line). Update CI to use astral-sh/setup-uv + `uv sync` + `uv run pytest`,
and refresh the Contributing section of the README to match.

`[dependency-groups]` is the right home (vs `[project.optional-dependencies]`)
because pytest is dev-only and shouldn't appear in the published wheel's
optional features list alongside things like `pdf` or `mcp`.

* remove uv.lock from gitignore
2026-05-28 14:38:31 +01:00
Safi 03dd794a80 Add v8 to CI branch list
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-15 00:09:16 +01:00
Safi 913feca6a6 CI: add v5-v7 branches, workflow_dispatch trigger, sql extra 2026-05-04 18:27:33 +01:00
Safi 4b87e67ff3 Add v4 to CI branch triggers
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-10 16:01:14 +01:00
Safi e5e93c8180 Add GitHub Sponsors funding config 2026-04-07 10:46:36 +01:00
Safi aed4a981a1 v3: MIT license, multi-platform packaging and CI 2026-04-06 16:06:31 +01:00
Safi 4ba8198c7c v2.1: PyPI release and CI for v2 branch 2026-04-06 16:06:31 +01:00
Safi 64e07abd98 docs: CI, architecture guide, worked examples, README fixes
- Add GitHub Actions CI workflow (Python 3.10 and 3.12)
- Add CI badge to README
- Add ARCHITECTURE.md: pipeline overview, module table, schema, how to
  add a language extractor, security summary
- Move eval reports from tests/ to worked/httpx/ and worked/mixed-corpus/
- Fix README: test count 163→212, language table (13 languages via
  tree-sitter), extract.py description, worked examples links

benchmark: 8.8x token reduction on nanoGPT + minGPT + micrograd

- Run AST extraction on 29 Python files across 3 Karpathy repos
- 177 nodes, 246 edges, 17 communities (Leiden)
- 8.8x avg token reduction vs naive full-corpus context stuffing
- Notable: micrograd cleanly splits into engine/nn communities;
  nanoGPT model vs training loop correctly separated
- Honest: stdlib import noise flagged, config isolates documented

benchmark: 71.5x token reduction on mixed corpus (code+papers+images)

Full run: nanoGPT+minGPT+micrograd + 5 research papers + 4 images
285 nodes, 340 edges, 53 communities
Average BFS query: 1,726 tokens vs 123,488 naive (71.5x)
Code-only (AST) sub-benchmark: 8.8x on 13k-word corpus
2026-04-06 16:06:31 +01:00