Two strands of work.
Session brain — a topic graph over raw agent session history, so you can
find the session where something happened instead of remembering its
UUID. Reads every Claude transcript plus the pruned sessions that survive
only as prompts in history.jsonl, clusters them with local TF-IDF and
community detection (no embeddings, no API calls, no new dependencies),
and writes a sidecar at ~/.claude/session-brain/ — the vault is never
touched. Ships five modules, the sessions-* CLI commands, an interactive
graph.html, and the /session-brain and /wiki-sessions skills. This is
retrieval, deliberately distinct from wiki-history-ingest, which distils
sessions into permanent vault pages.
Docs — README.md was 598 lines and put trust-check flags and a 17-row
agent matrix in front of anyone evaluating the project. Cut it to a 129-
line landing page (problem statement, 60-second install, four blocks of
runnable commands, graph screenshot, why-not-a-notes-folder) and move the
reference material into docs/: installation, agents, skills, cli,
configuration, architecture, session-brain, contributing. README_TW.md
mirrors the new structure; docs/ stays English-only for now.
The restructure also closed real drift:
- Ten skills existed but appeared in no reference — session-brain,
session-search, wiki-dedup, wiki-digest, wiki-import, wiki-context-pack,
wiki-stage-commit, wiki-switch, vault-skill-factory, and
obsidian-layout-adjustment.
- SETUP.md listed 12 of 39 skills and still claimed "no scripts, no
dependencies" despite the pip package. It is now a signpost into docs/.
- Eight config variables were undocumented anywhere, including
WIKI_STAGED_WRITES, which wiki-setup prompts for and three skills read.
Added to .env.example and docs/configuration.md.
- sessions-name and a number of CLI flags were missing from the docs.
Two details worth noting. README links are absolute GitHub URLs because
pyproject sets readme = "README.md" as the PyPI long_description, and PyPI
resolves relative hrefs against pypi.org rather than the repo — docs/
links would have 404'd on the package page. And three doc-drift guards
asserted their facts against README.md; since those facts moved rather
than disappeared, the assertions were repointed at the page that now owns
each one instead of padding content back into the README.
Also gitignore /vault/ (a local knowledge vault, not a fixture) and the
packed browser extension.
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* feat(pypi): package obsidian-wiki as a pip-installable distribution (#71)
Add a PyPI package so users can install without cloning the repo.
- pyproject.toml (hatchling, no runtime deps); force-include .skills/ and
bootstrap files into the wheel under obsidian_wiki/_data/ — repo root stays
the single source of truth. Force-include .skills/ into the sdist too, or
hatchling's VCS walker drops it (the committed agent symlink mirrors shadow
the real .skills/<name> files).
- obsidian_wiki CLI: Python port of setup.sh. `obsidian-wiki setup` writes
~/.obsidian-wiki/config and symlinks all skills into every supported agent
(--copy / --project / --project-only); plus `list` and `info`.
- .github/workflows/publish.yml: build + twine check + skill-bundle assertion,
publish to PyPI on v* tags via Trusted Publishing (OIDC).
- README + SETUP: pip install instructions; gitignore build artifacts.
* build(pypi): derive version from git tag via hatch-vcs; skip-existing on publish
Align the package version with the repo's CalVer release tags (v2026.05.2 ->
2026.5.2) so tagging a release is the version bump and future release tags
auto-publish the matching version.
Agent-readable skills for building and maintaining an AI-powered Obsidian
knowledge base using Karpathy's LLM Wiki pattern. No scripts, no API keys —
the agent is the LLM.
10 skills: llm-wiki, obsidian-setup, obsidian-ingest, data-ingest,
claude-history-ingest, wiki-status, wiki-rebuild, obsidian-query,
obsidian-lint, skill-creator.
Features: delta tracking via manifest, project-based organization,
archive/rebuild/restore, any text source ingestion.
ar9av