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

snappy-triage

Turns your meeting follow-ups into a quick two-tap pick list.
description: "Triggers on prompt mention of 'snappy-triage'."
personal 2 files 10 recent evals

What it does for you

Turns your meeting follow-ups into a quick two-tap pick list.

What it produces

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

loading…

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
categoryOps
stages2

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/snappy-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/snappy-triage.ts not present
code the skill can run
Optional. Many skills are just words and need no code at all.
Scripts
state/bin/snappy-triage/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/snappy-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 · 3 deterministic · 1 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
all_followups_resolved
deterministic
Every 'id' that was 'open' at the start of the session has a non-'open' status as its latest entry in 'state/log/followups.ndjson' after skill execution.
correct_askuserquestion_options
judge
The 'AskUserQuestion' tool call for each open followup presents exactly four options: 'Mark done', 'Hand to an agent', 'Queue for Friday update', and 'Forget', with commitment text cited in the labels.
correct_status_translation
deterministic
The 'status' written to 'state/log/followups.ndjson' via 'apply.ts' matches the specified translation rules for each chosen option (e.g., 'Mark done' -> 'status=done').
summary_eval_appended
deterministic
A summary evaluation row with 'skill\":\"snappy-triage\"' and '\"verb\":\"triage\"' is appended to the skill's log after processing all followups, containing 'total', 'done', 'delegated', 'queued', and 'forgotten' counts.

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/snappy-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. AskUserQuestion answers are freeform strings from the operator for the

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

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

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

snappy-triage

The action half of the post-meeting moment. meeting-triage detects the commitments; this is the skill Robert runs to close them out in ~30 seconds.

Usage

/snappy-triage

No arguments. The skill reads state/log/followups.ndjson, takes the latest row per id, filters to status == "open", and walks Robert through each item with AskUserQuestion.

Steps

  1. Run npx tsx state/bin/snappy-triage/list.ts to get the open followups as

a JSON array. Sort order is already applied (urgency then ts).

  1. If the array is empty, reply "no open meeting followups; byline lied" and

log an eval row with score: 1, empty: true. Exit.

  1. For each row, call AskUserQuestion (load via

ToolSearch({query: "select:AskUserQuestion"}) if not already in the session) with the item text as the question and exactly four options:

  • Mark done
  • Hand to an agent - sub-prompt picks a snappy skill to own it

(NEVER a person's name - clients and collaborators are not agents)

  • Queue for Friday update - will be folded into the Friday Ray draft (Commit 3)
  • Forget

Option labels MUST cite the specific commitment text so the operator sees what they're answering to, not a generic menu.

Framing rule (load-bearing): snappy-os delegates commitments to its OWN agents, not to humans. "Delegate to Mark/Scott" is a category error - Mark and Scott are clients Robert has commitments TO, not teammates he hands work off to. The sub-prompt for the Hand-to-an-agent option must list snappy skills (snappy-freshbooks, snappy-ray-sheet, snappy-content-mine, snappy-go "<inline prompt>", etc.), never people.

  1. Translate the answer to a status string and call the apply script:
   npx tsx state/bin/snappy-triage/apply.ts <id> <status> "<optional note>"
  • Mark done → status=done
  • Hand to agent X → status=delegated:<skill> (skill name lowercase, snappy- prefix stripped; e.g. delegated:freshbooks)
  • Queue for Friday → status=queued:friday
  • Forget → status=forgotten
  1. After walking through every row, append one summary eval row:
   {"skill":"snappy-triage","verb":"triage","score":1,
    "total":N,"done":n1,"delegated":n2,"queued":n3,"forgotten":n4}
  1. Confirm to the operator: "Closed N/N followups - done X · delegated Y ·

queued Z · forgot W." Byline row drops on next render (≤60s).

followups.ndjson contract (recap)

The log is append-only. To update a row, apply.ts appends a new row with the same id and a new status. Everywhere else that reads the log takes latest-per-id - see list.ts for the canonical implementation.

Status conventions (match what apply.ts accepts):

  • open - initial state, written by meeting-triage/run.ts
  • done - marked completed by operator
  • delegated:<n> - handed off; the name after the colon becomes the assignee
  • queued:friday - will be folded into the Friday Ray-update draft
  • forgotten - intentionally dropped; no follow-up

Eval

Shape-gate:

  • A list was attempted - list.ts either returned rows or "empty".
  • Each picked action produced a new followups.ndjson row via apply.ts

(verified by grep on id + new status).

  • A summary eval row was appended.

Outcome-gate (per session): every id shown to the operator ends with a non-open status in the latest row.

Gotchas

  • AskUserQuestion answers are freeform strings from the operator for the

Delegate option. Normalize them before writing: lowercase, strip non [a-z0-9-], cap length to 40 chars. The apply script does not re-sanitize - that happens in the skill before the bash call.

  • Do NOT auto-delegate. The operator picks. The skill never guesses who

should own a followup.

  • If the operator aborts mid-session (Ctrl+C), the followups log will have

partial resolution. That's fine - re-running /snappy-triage just picks up the remaining open rows.

  • No dispatch call, no LLM. This skill is deterministic from start to finish;

the picker is where Robert is, so cheap dispatch during interactive work is forbidden (see feedback_no_cheap_dispatch_interactive.md).

Part of the plan

Commit 2 of ~/.claude/plans/read-the-plan-nifty-wolf.md. Queue-for-Friday status hands off to Commit 3's /ray-send.

Rubric

criteria:
  - name: all_followups_resolved
    kind: deterministic
    check: "Every 'id' that was 'open' at the start of the session has a non-'open' status as its latest entry in 'state/log/followups.ndjson' after skill execution."
  - name: correct_askuserquestion_options
    kind: judge
    check: "The 'AskUserQuestion' tool call for each open followup presents exactly four options: 'Mark done', 'Hand to an agent', 'Queue for Friday update', and 'Forget', with commitment text cited in the labels."
  - name: correct_status_translation
    kind: deterministic
    check: "The 'status' written to 'state/log/followups.ndjson' via 'apply.ts' matches the specified translation rules for each chosen option (e.g., 'Mark done' -> 'status=done')."
  - name: summary_eval_appended
    kind: deterministic
    check: "A summary evaluation row with 'skill\":\"snappy-triage\"' and '\"verb\":\"triage\"' is appended to the skill's log after processing all followups, containing 'total', 'done', 'delegated', 'queued', and 'forgotten' counts."

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

snappy-triage - loader

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

Critical Rules

  • AskUserQuestion answers are freeform strings from the operator for the

Commands

| ui dashboard | state/skills/snappy-triage/resources/ui.openui | |invoke: see state/skills/snappy-triage/SKILL.md Steps section |eval log: state/log/evals.ndjson (skill: "snappy-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)] snappy-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)] snappy-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/snappy-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 - 2 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 1.00 · 10 runs actor/auditor: unverifiable
deps none declared
timestamp verb score primary_issue artifact
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:58Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-18 18:49Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:58Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-18 18:49Z - 1.00 - -