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JiamingShi-JsPhysJiamingShi-JsPhys/agent-skills/skills/document-evolution-tracker/SKILL.md

document-evolution-tracker

Skill4 starsChanged 24 days agoMITView on GitHub

Document evolution tracker. Use when the user has a family of document versions (timestamped or sequentially named files) and wants to see how the document changed over time -- which paragraphs / lines / sentences were added, removed, or modified between consecutive versions, and how a set of named concepts (or auto-detected headings) evolved (introduced / retained / modified / dropped). Triggers on "track document changes", "version history", "what changed between drafts", "concept lineage", "document evolution". Emits a Markdown + JSON timeline.

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  • In this repository6 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before the first run, probe the runtime deps for this skill:

    line 61
  2. Very specific:

    If PyYAML is missing and the config is YAML, tell the user and ask whether to pip install pyyaml.

    line 67
  3. Very specific:

    Verify versions_dir contains at least two versioned files.

    line 82

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

document-evolution-tracker

A self-contained skill that tracks how a document **evolves across

versions**. Given a version family (a directory of v1.md, v2.md, ... or

timestamped files), it computes paragraph-level diffs between consecutive

versions and tracks a concept lineage (introduced / retained / modified /

dropped).

MANDATORY WORKFLOW

Dependency bootstrap (run on first use)

Before the first run, probe the runtime deps for this skill:

  • Core: pure standard library — no install required.
  • Optional: PyYAML (only when the config is a .yaml; JSON configs work with the standard library alone).

If PyYAML is missing and the config is YAML, tell the user and ask whether to pip install pyyaml; install only after they confirm. Never install into the global environment without explicit consent.

  1. Load a config (config/examples/family.json as reference; YAML configs are also supported when PyYAML is installed).
  2. Verify versions_dir contains at least two versioned files.
  3. python -m src.cli run --config <path> [--concepts "A,B"].
  4. Report the transition count and point the user at

    ./evolution/evolution_<tracking_id>.{md,json}.

When to use

  • A family of document versions (timestamped or sequentially named) must

    be compared over time.

  • The user asks "track document changes", "version history", "what

    changed between drafts", or "concept lineage".

  • A named concept (a term, a heading, a definition) must be traced across

    drafts to see when it was introduced, modified, or dropped.

  • The evolution of a draft must be reported as a timeline rather than a

    single end-to-end diff.

Usage examples




# Validate a config and see the discovered version files.



python -m src.cli validate --config config/examples/family.json



python -m src.cli versions --config config/examples/family.json







# Run the tracker; optionally name the concepts to follow.



python -m src.cli run --config config/examples/family.json --concepts "entropy,partition function"


Reports are written to ./evolution/evolution_<tracking_id>.{md,json};

the Markdown timeline is for readers, the JSON for programmatic use.

Failure handling

  • Config invalid (validate exits non-zero) - fix the reported field

    and re-validate; the naming scheme and versions_dir are the usual

    culprits.

  • Fewer than two versions discovered - the run aborts; check the

    version_naming rule against the actual filenames and retry.

  • A concept never appears - it is reported as absent across all

    versions, which is a valid result, not an error.

  • Unexpected exit code - report the message verbatim; do not fall back

    to diffing the files by hand.

Diff granularity

| Granularity | Split rule |

| --- | --- |

| line | Non-empty lines |

| paragraph (default) | Blank-line separated blocks |

| sentence | Punctuation-delimited sentences |

Limitations

  • Diffing is structural (block alignment via difflib), not semantic.

    A concept is "present" only when its exact phrase (case-insensitive)

    appears in the version's text.

  • Custom naming schemes beyond sequential / timestamp are not

    supported.

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