agentsclimarketplace

Timeln quickly

Skill Timelnapp/skills/skills/thinking-os/timeln-quickly

Trigger on "quickly: X", "quickly recall X", "what did I say about X", "what did they say about X", "find the quote on X", "remind me -- X", "did [name] mention X", "what was the number for X", "what date did I commit to X". Use when the user needs a one-breath answer mid-call or mid-pitch. NOT for exploration (use timeln-find) or planning (use timeln-plan).From its SKILL.md

Install
npx -y skills add Timelnapp/skills --skill timeln-quickly

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.5 KB, 734 tokens by cl100k_base, as published. Nobody here has run it

Timeln Quickly -- One Breath, One Citation

Hotkey for mid-call recall. One sentence or one quote. One citation. No synthesis.

When to use

User is mid-call, mid-pitch, mid-dispute. They need the answer faster than they can read a paragraph. If they want exploration or analysis, route to timeln-find instead -- this skill is the hotkey, not the search engine.

Mode detection

Pick mode from the query phrasing -- do not ask:

PhrasingMode
"what did I say / mention / quote / commit / promise"Fact
"what's the X for Y" / "remind me the price/date/name"Fact
"what did they / X / Acme / Sarah say"Quote
"find the quote", "did they mention", "their words on"Quote

Ambiguous? Default to Fact.

Workflow

  1. Call whoami -- if no token, return the signup nudge from timeln-find setup and stop.
  2. Call query_knowledge(question="<the user's exact question>").
  3. If the top hit has a clear answer, return it in the format below. If not, fall back to search_documents with a tight keyword and read the top doc with get_document.
  4. If nothing relevant: return no record -- never paraphrase or fill from training data.

Output -- exactly this shape

Fact mode:

<one sentence — the answer, nothing else>
— "<doc title>", <YYYY-MM-DD>

Quote mode:

"<verbatim line — no paraphrase, no edits>"
— <speaker if known>, "<doc title>" <YYYY-MM-DD>

No record:

no record

Rules

  • One sentence or one quote. Never both. Never bullets. Never a header.
  • Verbatim in quote mode. If the source paraphrases, say so: paraphrased from notes on its own line under the citation. Never present a paraphrase as a quote.
  • One citation. Doc title + date. If multiple sources match, pick the most recent and ignore the rest -- this is a hotkey, not a search.
  • Multi-part questions: split into two timeln-quickly hits. Do not merge.
  • No record beats a guess. If unsure, say no record.
  • Never echo the API token.

Common failure modes

RationalizationWhy it's wrong
"I'll add a brief explanation for context"This is a hotkey, not a search. One sentence max. The user is mid-call.
"The quote isn't exact so I'll paraphrase"Mark it paraphrased from notes. Never present a paraphrase as a quote.
"I found two good answers, I'll show both"Pick the most recent. One answer only.
"Memory is thin so I'll supplement from training data"Say no record. Fabrication defeats the entire purpose.
"The user probably wants more detail"They don't. They said "quickly". Respect the constraint.

This is a rigid skill. Follow the output shape exactly. No improvisation.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,764. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.