see `state/skills/snappy-triage/SKILL.md` Steps .md file to compare - side-by-side diff against snappy-triage
snappy-triage
description: "Triggers on prompt mention of 'snappy-triage'."
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.
For developers how this skill is built, graded, and how it runs
at a glance- the short version
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.
state/skills/snappy-triage/SKILL.md
present
state/lib/snappy-triage.ts
not present
state/bin/snappy-triage/
not present
state/skills/snappy-triage/AGENTS.md
present
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.
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.
state/log/evals.ndjson - 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.
- Loading feedback rows…
how the work flows- step by step
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
- Run
npx tsx state/bin/snappy-triage/list.tsto get the open followups as
a JSON array. Sort order is already applied (urgency then ts).
- If the array is empty, reply "no open meeting followups; byline lied" and
log an eval row with score: 1, empty: true. Exit.
- 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 doneHand 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.
- 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
- 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}
- 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 bymeeting-triage/run.tsdone- marked completed by operatordelegated:<n>- handed off; the name after the colon becomes the assigneequeued:friday- will be folded into the Friday Ray-update draftforgotten- intentionally dropped; no follow-up
Eval
Shape-gate:
- A list was attempted -
list.tseither 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
AskUserQuestionanswers 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
AskUserQuestionanswers 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:
- [ ] Know which lib/bin artifact backs this skill (or that it is prose-only)
- [ ] Know what to write to
state/log/evals.ndjsonafter invoking - [ ] Know the eval mode (auto / shape / manual) from the .md frontmatter
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] snappy-triage: <what was missing>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(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: brandedin 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
| 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 | - | - |