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v0.1.0 - Initial public release

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@linkpranay-ai linkpranay-ai released this 08 Jul 04:53
· 105 commits to main since this release
v0.1.0
5c093ed

Initial public release.

Added

  • ult-context-generate: the protocol's centerpiece skill — assembles a human-approved,
    source-attributed context package (code graph + requirements + org conventions + constraints)
    before a downstream generation task runs, gated on an explicit gap → conflict → staleness
    state machine per feature aspect.
  • ult-codegraph: generates a codebase knowledge graph (graphify) so other skills can
    query cross-file relationships before touching code — the What-L3 layer.
  • compiling-project-guidelines: compiles scattered guideline sources into one scope-aware
    COMPILED-GUIDELINES.md, feeding the How-L2 layer and any code-facing skill directly.
  • ult-repo-layout: registers, resolves, and validates path-slots via .layout-slots.yaml
    markers, so relocating a project's conventional folders needs zero SKILL.md edits.
  • demo-consume-context: a from-scratch worked example proving the produce/consume/tag loop
    end to end — discovers, loads, spot-checks, cites, and tags an approved context package per
    CONSUMING-CONTEXT-PACKAGE.md.
  • What-L1 (piloting): deterministic, zero-LLM structural indexing of external .md
    references (md_index.py — "the graphify for markdown") with bundled generic/3gpp pattern
    profiles, triggered as a gated fallback only for aspects with no What-L2/What-L3 coverage.
  • Cross-runtime adapters, generated (never hand-duplicated) from each skill's SKILL.md by
    catalog/export_adapters.py: .prompt.md wrappers for GitHub Copilot, .mdc rules for
    Cursor, and an AGENTS.md table for OpenAI Codex.
  • Quality gates as OSS infra: CI workflow, pytest coverage across skill scripts and the
    adapter generator, --check drift detection for generated adapter files.
  • Dogfood validation (Phase 9): all four real skills run end-to-end, by hand, against a
    freshly cloned, unrelated real-world repo (Textualize/textual) — not just read for
    correctness. Claude Code and GitHub Copilot are field-validated with real transcripts; Codex is
    field-validated via Codex Desktop (with one disclosed, unrelated VS Code extension caveat). See
    README.md "Runtime support" for details.
  • PROTOCOL.md: the full layer model, gap/conflict/staleness state machine (with diagrams),
    human-approval gate, and How-L1's specified-but-not-yet-built design.
  • user_guides/topics/consuming-a-context-package.md: a plain-language, 10-minute on-ramp
    for building a skill that consumes an approved context package.
  • examples/telecom-what-l1-demo/: a worked, hand-run example of the What-L1 mechanism
    against a synthetic (clearly labeled, non-copyrighted) 3GPP-style spec fixture.
  • ROADMAP.md: prioritized list of what's next — installer, How-L1 implementation,
    cross-file citation resolution, and more.

Known limitations (disclosed, not regressions)

  • How-L1 (org-wide process-standard ingestion) is specified but not implemented.
  • Cross-file citation resolution is single-hop/same-file only.
  • graphify merge-graphs is broken for multi-root repos (documented workaround: one root at a
    time).
  • No installer script exists yet — setup today is manual file copying.
  • Cursor's adapter is generated and doc-verified but not field-tested against a live install.

See README.md "What's not yet done" and
ROADMAP.md for the full, current disclosure.

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