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traccia

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traccia exported skill map animation

traccia is a tool that turns your personal archive into a self-explaining skill graph. it takes as input notes, code, docs, ai chat transcripts, export files from other platforms, or just your half-structured personal history and leaves these source files untouched. out of them it extracts timestamped fragments of evidence, which it renders as a graph tracing how each skill has been acquired, how deeply explored it is, how recent any progress is, and how central it is to your ongoing work as seen in your archive.

it is built for working with mixed archives, not for single authoritative sources such as a single git repo. at its best, it can pull from a broad mix of inputs such as repo history, google activity, social profiles and ai conversation logs. it avoids the trap of pretending all signals are equally valid but keeps all weak signals weak, strong evidence strong, and leaves the trail visible so you can question anything later.

quick start

install with npm:

npm install -g @microck/traccia

the npm wrapper requires uvx on PATH.

or install the Python CLI from a checkout:

uv sync
uv tool install -e .

then create a project and ingest a folder:

traccia init my-traccia
traccia doctor my-traccia
traccia ingest-dir /path/to/archive --project-root my-traccia
traccia tree --project-root my-traccia
traccia explain python --project-root my-traccia

export the results:

traccia export obsidian --project-root my-traccia
traccia export viewer --project-root my-traccia
traccia export admin --project-root my-traccia
traccia export publish --project-root my-traccia

what it produces

output purpose
graph/graph.json Machine-readable skill graph.
tree/index.md Markdown overview of the graph.
tree/nodes/*.md One markdown page per skill.
profile/skill.md A profile summary derived from accepted graph state.
exports/obsidian/ Obsidian-friendly vault export.
exports/viewer/ Public read-only skill map viewer.
exports/viewer-admin/ Admin curation viewer.
exports/viewer-public/ Redacted public bundle generated from curation.

install paths

the canonical implementation is the Python package. the npm package is a thin launcher for Node-first environments.

path command notes
repo-local uv sync then uv run traccia ... best while developing.
editable CLI uv tool install -e . installs traccia on PATH.
pip editable pip install -e . same console script through pip.
npm one-off npx @microck/traccia doctor . requires uvx on PATH.
npm global npm install -g @microck/traccia installs the npm launcher.

optional document parsing extras are available when you need heavier local PDF or DOCX normalization:

uv sync --extra docling
uv sync --extra marker
uv sync --extra document-markdown

documentation

start here:

design records and deeper planning notes remain in docs/ for maintainers.

core guarantees

  • Source files in raw/ are not rewritten by the LLM.
  • First-pass extraction is scoped to one source or source chunk.
  • Evidence is stored before graph scoring.
  • SQLite is the canonical derived state.
  • Markdown, JSON, profile files, and viewers are projections.
  • Public publishing physically removes hidden/private graph data from the public bundle.

license

MIT

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