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Evanyuan-builderEvanyuan-builder/temporal-core/skills/temporal-awareness/SKILL.md

temporal-awareness

Skill0 starsChanged 6 months agoApache-2.0View on GitHub

Reason about time pressure, deadlines, elapsed duration, recency, and pacing. The temporal-core plugin's hooks inject `[temporal-core] session elapsed: Xm Ys` and `[temporal-core] since last action: Xs` fragments into your context. Activate this skill when you see those fragments, when a task has a deadline or time budget, when reasoning about how recent something happened, or when the user asks "how long" something took.

4 other projects use a version of this.

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  • Other versions4 projects use a version of this.

    Word for word · 0

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    Wrote their own version · 4

    1. jpcaparas/skills★ 53same name
    2. forgedcontextlabs/skills★ 4same name
    3. SUDARSHANCHAUDHARI/TemporalThread★ 1same name
    4. 2867203296/hermes-agent★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 1

    Distinctive

    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. Very specific:

    When the user mentions a deadline ("I need this in 30 minutes", "before EOD"), record it and check it against session elapsed at each turn.

    line 27
  2. Very specific:

    When the user references prior work ("the bug we fixed earlier", "what you did just now"), session elapsed tells you the temporal distance.

    line 31
  3. Distinctive:

    When the user asks "how long did this take?", the elapsed signals give you an answer based on actual time, not a guess.

    line 39

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “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

Temporal Awareness

The temporal-core plugin gives you a lightweight sense of time passing within a Claude Code session. This skill teaches you how to use those signals well.

What you'll see

The plugin emits two kinds of context fragments:

  • [temporal-core] session elapsed: 12m 34s — at every user turn, the time since the session began
  • [temporal-core] since last action: 42s — before every tool call, the time since the most recent prior action (user prompt or previous tool). Suppressed when under 5s to reduce noise.

These are not commands. They are signals — like a wristwatch glance. Notice them; let them shape your reasoning.

How to use them

Pacing decisions

If you've been working on a task for a long time (session elapsed: 1h 12m) and you're still scoping rather than executing, that's a signal to commit. Conversely, if elapsed is small and the user's request is large, it's fine to take time to think.

Deadline-aware prioritization

When the user mentions a deadline ("I need this in 30 minutes", "before EOD"), record it and check it against session elapsed at each turn. If you're 25 minutes into a 30-minute task, switch from exploration to delivery.

Recency reasoning

When the user references prior work ("the bug we fixed earlier", "what you did just now"), session elapsed tells you the temporal distance. Earlier-in-session is recent; don't conflate it with earlier-in-history-from-training.

Operation-pacing awareness

since last action lets you sense whether you're in fast-iteration mode (consecutive small gaps) or deliberation mode (multi-minute gaps). Use this to calibrate: was that long pause warranted?

Honest reporting

When the user asks "how long did this take?", the elapsed signals give you an answer based on actual time, not a guess.

When the signals are absent

If you don't see [temporal-core] fragments in this turn or recent turns, the plugin isn't installed or the hooks didn't fire. In that case, fall back to the system clock (date via Bash) when you genuinely need time information. Don't fabricate elapsed times.

What this skill does NOT do (yet)

  • Does not track time across sessions — cross-session continuity ships in v0.2
  • Does not enforce deadlines or alert you — you must consult the signals yourself
  • Does not integrate with memory recency weighting — v0.2 with Memory Core integration
  • Does not track wall-clock time of long-running tools — only inter-action gaps

Why this exists

LLM agents systematically fail under real-time deadlines because they do not natively represent elapsed time. Aher et al. (2026), Real-Time Deadlines Reveal Temporal Awareness Failures in LLM Strategic Dialogues, showed that explicitly surfacing remaining time boosted negotiation acceptance odds 6×. The temporal-core plugin is a minimal implementation of that surfacing — making time perceptible without making it intrusive.

License

Apache-2.0 — see plugin LICENSE.

Download now (ZIP)

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