agentleFS
TheKontextCoTheKontextCo/kontext-claude-plugin/skills/recall/SKILL.md

recall

Skill1 starsChanged 3 months agoMITView on GitHub

Search Kontext for prior work, decisions, or notes on a topic

142 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use addskill, apply-firmware and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ryanportfolioSkill

    addskill

    Create, import, update, or install repo or personal skills: runtime ownership, resources, discovery checks.

    Also in 6 projects that use this

  • ryanportfolioSkill

    apply-firmware

    Bring current folder (plain folder, existing repo, old or partial firmware copy) up to full Harness Firmware in place. Mirror external repo → adopt-repo.

    Also in 6 projects that use this

  • +10 more from ryanportfolio

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 4 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 129 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Search the user's Space for: $ARGUMENTS

    line 11
  2. Distinctive:

    If no argument was given, infer the query from what this session is currently working on — the repository, the file under discussion, the …

    line 13
  3. Very specific:

    Call search_context with the query.

    line 16
  4. Very specific:

    Search returns metadata and document *summaries*, not bodies.

    line 18
  5. Very specific:

    If a record names the conversations it was imported from and the detail matters, use read_conversation rather than guessing at what the …

    line 20
  6. Distinctive:

    Treat the relationship paths in the results as explanations of why something surfaced, not as proof.

    line 30
  7. Distinctive:

    If nothing matches, say so plainly and offer to save the current work instead.

    line 34

“Common” is measured: kept by at least 6 in 10 of the 129 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

Recall from Kontext

Search the user's Space for: $ARGUMENTS

If no argument was given, infer the query from what this session is currently working on — the repository, the file under discussion, the feature name — and say which query you used.

  1. Call search_context with the query. It matches text directly, then follows one graph hop, so related work surfaces even when it uses different words.
  2. Search returns metadata and document summaries, not bodies. When a result looks like the answer, call read_document for the actual content before reporting it.
  3. If a record names the conversations it was imported from and the detail matters, use read_conversation rather than guessing at what the summary compressed. list_conversations and list_documents enumerate what exists when the query is too vague for search to rank well.
  4. Shared results report readOnly and a permission. Say so when you cite one — the user may not be able to change it.

Report what you found, grouped by relevance rather than by type. For each item give the title, what it says, and its markdownLink so the user can open it in their Library.

Treat the relationship paths in the results as explanations of why something surfaced, not as proof. If a stored record contradicts what the code currently does, report both and say which is which — do not silently prefer either.

If nothing matches, say so plainly and offer to save the current work instead. Do not pad the answer with near-misses.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.