agentleFS
jmarek41jmarek41/surf-guide/.agents/skills/log-session/SKILL.md

log-session

Skill0 starsChanged 4 months agoMITView on GitHub

Log a surf session or visual spot check locally and update private forecast calibration. Use when the user reports what conditions were actually like.

3 other projects use a version of this.

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  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. thiagofinch/mega-brain★ 95same name
    2. gtrabanco/agentic-workflow★ 23same name
    3. Faaz17/Agents-and-Skills★ 1same 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.

  • In this repository6 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 3 are distinctive, and 6 are 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.

  • 6

    Very specific

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

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

    If it is missing, tell the user to run /setup-surf.

    line 15
  2. Very specific:

    If its status is none, stop before resolving any region paths.

    line 17
  3. Distinctive:

    Ask only for fields necessary to avoid a misleading record:

    line 34
  4. Distinctive:

    Never invent missing forecast values.

    line 44
  5. Very specific:

    Update data/calibration/<region>.md only when the observation changes a useful private rule.

    line 54
  6. Very specific:

    Follow method/calibration-promotion.md after updating the private record.

    line 59
  7. Distinctive:

    update to an existing candidate.

    line 65
  8. Very specific:

    Do not edit locations/ during session logging.

    line 77
  9. Very specific:

    Do not write raw sessions under locations/.

    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

Log a session

Record the user's session report as private ground truth.

Load

Read data/active-location.md first.

If it is missing, tell the user to run /setup-surf.

If its status is none, stop before resolving any region paths. Explain that there is no active destination and offer either:

  • /setup-surf to activate the next trip; or
  • logging against a named archived region, but only after the user explicitly identifies that region.

For an active destination, verify that the region slug and every configured session/calibration path are non-empty. Then read:

  • templates/sessions.csv
  • the active data/sessions/<region>.csv
  • the active data/sessions/<region>.md
  • the active data/calibration/<region>.md

Clarify

Ask only for fields necessary to avoid a misleading record:

  • date, public spot name, and approximate time window;
  • surfed or visual check;
  • observed face height, cleanliness, consistency, wind feel, and verdict;
  • forecast numbers only if they were saved in the prior conversation or the user provides them;
  • a primary and alternate wind-source value when both were captured;
  • what matched and what missed.

Never invent missing forecast values. Leave CSV fields empty.

Write locally

Append:

  1. One concise prose entry to data/sessions/<region>.md.
  2. One CSV row per checked spot to data/sessions/<region>.csv, following the exact template schema.

Update data/calibration/<region>.md only when the observation changes a useful private rule. Preserve counterexamples and evidence counts.

Evaluate a reusable lesson

Follow method/calibration-promotion.md after updating the private record. Classify the result as:

  • personal-only;
  • needs more evidence;
  • candidate public lesson; or
  • update to an existing candidate.

For a candidate, add or update a stable entry in the private calibration's Candidate public lessons table. Keep its evidence references private. Draft a separate anonymized public rule with:

  • public spot name and condition bucket;
  • generalized model or geometry behaviour;
  • observation count and independent-contributor count;
  • counterexamples, uncertainty, evidence label, and confidence;
  • the target locations/<country>/<region>/calibration.md.

Do not edit locations/ during session logging. Show the proposed public rule to the user and ask for explicit approval in a later contribution step.

Privacy

Do not write raw sessions under locations/. If a lesson appears broadly useful, separately offer the anonymized proposal described above.

Preparing a public contribution requires explicit approval. Repeated sessions from this user still count as one independent contributor.

Finish by summarizing what was logged and which private calibration rule, if any, changed. Also report the candidate lesson status without implying that it has already been published.

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