OR Key
drop another .md file to compare - side-by-side diff against meeting-triage

meeting-triage

Surfaces what you committed to in a meeting the moment you hang up.
description: "Triggers on prompt mention of 'meeting-triage'."
personal 2 files 10 recent evals

What it does for you

Surfaces what you committed to in a meeting the moment you hang up.

What it produces

A recent result, so you can see the kind of work it returns.

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How to get it

These run inside the Snappy workspace. Want this working in your business? I set skills like this up with you, in one focused week.

Work with me
For developers how this skill is built, graded, and how it runs

at a glance- the short version

eval modeauto-shape
categoryKnowledge
stages2
dependskrisp

what's inside - the parts that make up a skill 2/4 present

A skill is just a few plain-text files. Only the main one is required. The rest are optional, added as the work needs them. This is what the skill is made of; how it runs is just below.

The skill
state/skills/meeting-triage/SKILL.md present
the skill itself, in plain text
The main file. It says what the skill is and lays out the steps in plain English.
Code
state/lib/meeting-triage.ts not present
code the skill can run
Optional. Many skills are just words and need no code at all.
Scripts
state/bin/meeting-triage/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/meeting-triage/AGENTS.md present
what the AI loads on the fly
Loaded automatically the moment this skill is needed. Kept short on purpose.

how it's graded - what counts as a good run 4 criteria · 2 deterministic · 2 judge

Each row is one thing a good run has to get right. deterministic means a quick check decides, pass or fail. judge means the AI reads the result and rates it. Grading each piece on its own (instead of one overall score) shows exactly where a run fell short, so the fix is obvious.

name
kind
check
eval_row_appended
deterministic
The command `tail -n 1 state/log/evals.ndjson` shows a new line with an 'eval' field after script execution.
robert_items_filtered
judge
All entries in `state/log/followups.ndjson` generated by this skill refer to Robert's open commitments, either by fuzzy first name match or by title starting with 'Robert to …' and `status == 'open'`.
new_open_followups_logged
judge
New action items for Robert from the Krisp cache, not previously in `state/log/followups.ndjson`, are appended to `state/log/followups.ndjson` with `status: \"open\"`.
cache_refresh_conditional
deterministic
If `~/.claude/cache/krisp/action-items.json` is older than 60 minutes, `fetchActionItems()` from `state/lib/krisp.ts` is called to refresh the cache.

how it runs - the shared frame every skill uses 3/5 present

Every skill runs the same way. One part does the work, a separate part checks it, and a short loader hands the AI exactly what it needs for the job. Anything this skill doesn't use shows a one-line note saying why, on purpose, not by accident.

makes the work The worker
inferred
see `state/skills/meeting-triage/SKILL.md` Steps from the run command
No worker is named directly, so the command this skill runs is treated as the worker.
checks the work The reviewer
inferred
shape gate an automatic check
The check is an automatic pass or fail on the shape of the result, run separately from the work itself.
frame
learns Self-correction
present
fixes itself learns from gaps
When a run hits a gap, the skill gets edited on the spot [FIXED] or queued for a bigger rewrite [LOGGED], so it keeps getting better.
tidies up Background fixes
present
queued for rewrite runs in the background
Bigger fixes that can't be made on the spot get queued and rewritten in the background later.
remembers Run history
present
state/log/evals.ndjson unknown runs
Every run is written down here, so the next time this skill is used it already knows how the last runs went.
Critical rules the things this skill must not get wrong
  1. assignee: null is common — Krisp drops it. pendingActionItemsFor already

what it has learned - fixes written back in over time sample

When a run hits something this skill didn't handle, the fix gets written back into the skill so it doesn't happen again. FIXED means it was corrected on the spot. LOGGED means it's queued for a bigger rewrite. Either way, the skill gets a little better and never makes the same mistake twice.

  1. Loading feedback rows…

how the work flows- step by step

inputs krisp
1 generator
invoke
see `state/skills/meeting-triage/SKILL.md` Steps section
2 data
eval log
`state/log/evals.ndjson` (skill: "meeting-triage")

SKILL.md- the skill, written out in plain English

meeting-triage

The feel-it-now companion to /snappy-ops (the idle-moment proof of life). /snappy-ops tells you the system is breathing; meeting-triage makes you feel the system DO something - within seconds of a Krisp cache refresh the byline shows you what you just committed to, ranked by urgency.

Usage

The script is fired by launchd (com.snappy.meeting-triage.plist, WatchPaths = ~/.claude/cache/krisp/action-items.json) - it runs the instant new action items land, not on a polling cadence. Invoke directly when you want an ad-hoc triage:

npx tsx state/bin/meeting-triage/run.ts

Output is a single JSON line on stdout:

{"ok":true,"refreshed":true,"pending":8,"new":3,"skipped_seen":5,"followups_log":"...","evals_log":"..."}

What it does

  1. Read ~/.claude/cache/krisp/action-items.json. If older than 60 min, call

fetchActionItems() from state/lib/krisp.ts and refresh the cache.

  1. Filter to items where Robert owns it (first-name-fuzzy OR title starts with

"Robert to …") AND completed == false.

  1. Rank urgency by the rules in rankUrgency() - explicit keywords ("today",

"this week", "asap") win; otherwise fall through to due_date delta, and finally to meeting recency (anything from a meeting <48h old defaults to "this week").

  1. Dedupe against IDs already written to state/log/followups.ndjson. Krisp

IDs are stable, so re-firing is cheap.

  1. Append one row per new commitment. Eval row logged either way.

followups.ndjson row shape

{
  "id": "019d8e0b6cec7275924fceb0813a058a",
  "meeting_id": "019d8dcb56bf739dac4778f4c53b54a2",
  "meeting_title": "Robert Boulos <> Mark",
  "committed_by": "robert",
  "text": "Robert to announce in Slack when the PR has been pushed.",
  "urgency": "this week",
  "status": "open",
  "ts_created": "2026-04-18T18:42:12.108Z",
  "ts_resolved": null
}

/snappy-triage (the picker) appends a new row with the same id and an updated status when the operator acts on an item. Read-time logic takes the latest row per id.

Byline row

The byline (state/bin/statusline.sh) reads followups.ndjson, takes the latest row per id, counts rows where status == "open" AND ts_created is within the last 2 hours. When the count is > 0 it emits:

📬 meeting: N items · → /snappy-triage

After the operator works through them, the rows flip to status != open and the byline row drops.

Eval

Shape-gate (what this skill guarantees per run):

  • An eval row is appended on every run, success or failure.
  • On success the row contains {score: 1, pending_count, new_count, refreshed}.
  • On failure (no cache, Krisp auth expired) the row contains

{score: 0, error: "..."} so the eval-coverage lint surfaces it rather than hiding it behind an empty byline.

Outcome-gate (over time):

  • Median time from meeting end → first 📬 meeting: byline render ≤ 3 min

on the Mac Mini (cron owner). Measured by diffing ts_created on the oldest open followup against the meeting's meeting_date.

Gotchas

  • assignee: null is common - Krisp drops it. pendingActionItemsFor already

handles the title-prefix fallback (titleAssignedTo) so items like "Robert to review …" still surface even without a structured assignee.

  • The cache refresh trips over expired Krisp OAuth (the same way

fetchLinkedInDMs did). fetchActionItems refreshes the token automatically; if that fails, this script falls back to the stale cache and logs error: "refresh-failed" on the eval row so inbox-sweep-style silence is impossible.

  • rankUrgency is deterministic. No dispatch call, no LLM. If we later need

nuance, add a --model=gemini flag and route the ranking through state/lib/dispatch.ts, but the v1 bar is "ship today, feel it tomorrow."

Graduation

Already graduated to script - state/bin/meeting-triage/run.ts + state/bin/meeting-triage/watch.sh. No prose-to-script ladder because the classifier already has a working reuse target (ray-todo.md's filter).

Part of the plan

Commit 2 of ~/.claude/plans/read-the-plan-nifty-wolf.md. Paired with /snappy-triage (the picker) and the 📬 meeting byline row.

Rubric

criteria:
  - name: eval_row_appended
    kind: deterministic
    check: "The command `tail -n 1 state/log/evals.ndjson` shows a new line with an 'eval' field after script execution."
  - name: robert_items_filtered
    kind: judge
    check: "All entries in `state/log/followups.ndjson` generated by this skill refer to Robert's open commitments, either by fuzzy first name match or by title starting with 'Robert to …' and `status == 'open'`."
  - name: new_open_followups_logged
    kind: judge
    check: "New action items for Robert from the Krisp cache, not previously in `state/log/followups.ndjson`, are appended to `state/log/followups.ndjson` with `status: \"open\"`."
  - name: cache_refresh_conditional
    kind: deterministic
    check: "If `~/.claude/cache/krisp/action-items.json` is older than 60 minutes, `fetchActionItems()` from `state/lib/krisp.ts` is called to refresh the cache."

AGENTS.md- what the AI loads when this skill comes up

meeting-triage - loader

Per-turn rules for the meeting-triage skill. Full reference: state/skills/meeting-triage/SKILL.md. Do not skip these.

Critical Rules

  • assignee: null is common - Krisp drops it. pendingActionItemsFor already

Commands

| ui dashboard | state/skills/meeting-triage/resources/ui.openui | |invoke: see state/skills/meeting-triage/SKILL.md Steps section |eval log: state/log/evals.ndjson (skill: "meeting-triage")

Self-Test

An agent reading this should correctly:

  1. [ ] Know which lib/bin artifact backs this skill (or that it is prose-only)
  2. [ ] Know what to write to state/log/evals.ndjson after invoking
  3. [ ] Know the eval mode (auto / shape / manual) from the .md frontmatter

Self-report

If this loader fell short, append a line:

echo "[$(date -u +%FT%TZ)] meeting-triage: <what was missing>" >> state/log/loader-feedback.log

<!-- kernel-ok: historical attribution for the PID-loader pattern. -->

Self-correcting loader (PID feedback)

This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.

Before you finish, do two things:

1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.

  • Default action: edit this file. Surgical. Add the missing line, table

row, or code example where it belongs. No restructuring.

  • Only LOGGED is allowed when: the fix needs >10 lines, spans multiple

files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.

  • "I didn't have time" / "it's minor" / "the next agent will figure it out"

are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.

  • Concrete example of a valid P-fix: discover agent-browser screenshot

takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.

  • The goal: the next agent never has to leave the loader.

2. Log the result.

echo "[$(date -u +%FT%TZ)] meeting-triage: <what was missing or fixed> [FIXED|LOGGED]" >> state/log/loader-feedback.log
  • FIXED = you patched this loader inline (P-fix).
  • LOGGED = too large for inline; the PostToolUse enqueue + Stop-hook drain

will rewrite the loader from scratch on next session-end.

Do not skip this. Every agent run must leave the system better than it found it. The loader is the setpoint; you are the sensor; the gap is the error signal; closing the gap is the correction.

OpenUI Resource

  • Skill-owned OpenUI Lang resource: state/skills/meeting-triage/resources/ui.openui. Read it before rendering or editing this skill's generated component surface.
  • Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
  • System resources compose OpenUI primitives and inherit SnappyChat tokens. Use ui_contract: branded in SKILL.md only for deliberate platform or client visuals.

api.ts- the code it can call

⚠ no api.ts - this skill has no typed action surface

scripts- helper scripts it can run

prose-only skill - 5 inline code blocks live in SKILL.md above (no state/bin/ sidecar yet).

how we check it- the checks, plus the last 10 runs

rubric auto-shape no rubric declared
recent mean 0.76 · 10 runs actor/auditor: unverifiable
deps krisp
timestamp verb score primary_issue artifact
2026-04-27 13:06Z - 0.70 - -
2026-04-26 21:22Z - 1.00 - -
2026-04-26 06:12Z - 0.70 - -
2026-04-26 06:10Z - 0.70 - -
2026-04-26 05:11Z - 0.70 - -
2026-04-26 05:08Z - 0.70 - -
2026-04-26 05:08Z - 0.70 - -
2026-04-26 05:01Z - 0.70 - -
2026-04-26 05:00Z - 0.70 - -
2026-04-25 04:11Z - 1.00 - -