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AlpacaLabsLLCAlpacaLabsLLC/skills-for-architects/skills/timetracker/SKILL.md

timetracker

Skill390 starsChanged 54 days agoMITView on GitHub

Reconstruct evidence-based work descriptions and append user-confirmed durations to TIME.csv. Use for time logging and corrections; never infer hours or billing from activity.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Before acting, read the host contract, this component's declaration (skill:timetracker), and applicable workspace semantics.

    line 16
  2. Distinctive:

    Follow the exact TIME semantics for header, whole-register validation, sources, decimal hours, permanent allocation and retry identity.

    line 37
  3. Distinctive:

    Before append, bind the selected project, exact user-confirmed row and actual current register.

    line 43
  4. Distinctive:

    Use the verified single-register preparation from the mutation sequence.

    line 47

≈ “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

/as:timetracker

Before acting, read the host contract, this component's declaration (skill:timetracker), and applicable workspace semantics. Load only the required modes from the shared catalog.

<!-- architecture-studio:harness-compatibility -->

Use the host adapter and native context procedure. The harness performs the semantic operations below using its available native tools; ordinary task-specific code is allowed. No Arch Studio runtime, installer, bridge, supplied script or source checkout is required. Direct skill invocation is valid. Existing exact authorization persists; ask only for material missing facts or unavailable access.

Own project TIME.csv. Resolve one valid project through context.resolve; folders, Git roots and current directory alone never establish a project. A standalone valid project needs no studio.

Before changing records

Before persistent changes, follow the native mutation sequence: Inspect → Prepare → Verify preparation → Apply → Verify result → Complete. Inspect pending work first. Finish and verify preparation before the first canonical write: separately reread every saved original and prepared file, check its complete actual bytes, establish durable saving, and inspect actual permissions, ownership and ACLs. Merely writing recovery files does not finish verification. Apply only that verified set. Mark complete only after fresh readback validates the entire affected result and its relationships. Read-only requests and inline drafts need no publication sequence.

Time append/correction affects the complete TIME.csv only. Selected project/document/source records are read guards; their existence does not authorize edits or inferred hours. A correction preserves the original entry and adds one new confirmed entry under the ledger semantics.

Resolve the requested period; ask if absent. Perform time.list as native reads, then read the selected project’s DOCUMENTS.csv for relevant dated plans/decisions/events and inspect PROJECT.md, TASKS.csv and selected source artifacts. Explicit semantic work/event dates take priority; Git or modification times may suggest evidence but never duration. Report sources inspected and unavailable channels; quiet records do not prove no work or a complete timesheet.

Prepare descriptions with blank hours, stable source document IDs/items and confidence. Group evidence for the same activity; don't inflate it by file counts. Flag evidence already logged. Every finite positive duration comes from the user; meeting lengths, timestamps, commits and task status never supply hours. Unknown source/work dates remain unresolved.

time.append writes confirmed date, positive hours, description, sources and optional correction target. IDs are permanent E-numbers; exact repeat rows return the existing entry. Corrections are new entries referencing an existing E-ID; never edit/delete/renumber the original. No net-billing rule is inferred. Preview exact rows when not already authorized, apply, then re-read. Do not claim completeness beyond inspected evidence.

Native execution and completion

Follow the exact TIME semantics for header, whole-register validation, sources, decimal hours, permanent allocation and retry identity. The operation names identify work, not an executable interface. time.list reads only; time.append adds one confirmed row and preserves every earlier row. Do not turn existing time entries into billing facts or silently subtract a correction from the original duration.

Before append, bind the selected project, exact user-confirmed row and actual current register. A preview does not reserve an ID. Reconcile a concurrent allocation from a fresh full read or stop before writing. Check prior evidence after interruption; an already applied row is a no-op.

Use the verified single-register preparation from the mutation sequence. If a required guarantee is unavailable, preserve the confirmed entry and report the observed limitation before writing.

Re-read the actual canonical file after publication. Report owner path, entry ID, confirmed date, hours and sources, correction target if any, whether a new row was written or a repeat was found, and preservation checks. Separate evidence inspected from channels that were unavailable; a successful save or instruction retrieval does not prove a complete timesheet.

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