.md file to compare - side-by-side diff against dormant-ping
dormant-ping
description: "Triggers on prompt mention of 'dormant-ping'."
What it does for you
Spots clients you've gone quiet with and drafts a check-in for your approval.
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/dormant-ping/SKILL.md
present
state/lib/dormant-ping.ts
not present
state/bin/dormant-ping/
not present
state/skills/dormant-ping/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 - NEVER auto-send. The skill writes drafts to state/log/dormant-ping/<date>/<slug>.md and stops. The never_sent invariant is verified by lint greppping for action: "deliver" rows (must be zero). Sending is a separate explicit skill.
- ALWAYS run every draft through voice.checkTone() before writing. A "checking in" draft is exactly the kind of copy that sprouts hype words ("quick hello, just wanted to supercharge our cadence") — the gate catches it.
- NEVER use scarcity framing ("idle hours", "leftover budget"). Value-first only. (feedback_no_scarcity_offers.md)
- NEVER open with personal stories ("I was…", "Last week I…"). Technical reports only. (feedback_no_personal_stories.md)
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
prose skill — read latest `client-pulse` output → filter dormant_days ≥ threshold → dispatch gemini per client → checkTone → write draft
`grep '"action":"deliver"'` over `state/log/chain.ndjson` for this skill's run_id must return zero
SKILL.md- the skill, written out in plain English
Backed by: state/lib/knowledge.ts + state/lib/email.ts (draft only)
dormant-ping
Reads client-pulse output, filters to dormant_risk ≥ threshold_days, drafts a DM candidate per client via dispatch. Hard gate: writes to state/log/dormant-ping/<date>/<slug>.md and stops. Sending is a separate explicit skill.
Steps
- Read latest client-pulse output (invoke if stale).
- Filter by dormant_days ≥ threshold.
- For each, dispatch
geminiwith{client_context, last_touch_excerpt}
→ DM draft.
- Run every draft through
voice.checkTone()before writing. - Write drafts; log chain row; exit.
Eval
Deterministic, three-part:
score("dormant-ping", run_id, {
score:
shape_ok && never_sent && all_drafts_pass_tone ? 1.0 :
shape_ok && never_sent ? 0.5 :
0.0,
drafts_written: drafts.length,
tone_violations_total: sum(drafts.map(d => d.violations.length)),
primary_issue:
!never_sent ? "auto-send-attempted" :
!all_drafts_pass_tone ? "voice-gate-failed" :
null,
});
The never_sent invariant - no send fn is imported, no HTTP POST happens - is verified by a lint check that greps this skill's run log for action: "deliver" rows (must be zero).
Gotchas
voice.checkTone()gate is load-bearing. A "checking in" draft is
exactly the kind of copy that sprouts hype words ("quick hello, just wanted to supercharge our cadence") - the gate catches it.
- Threshold is per-client, not global. Read from
sources/clients/<slug>.md if present.
Rubric
criteria:
- name: draft_files_written_correctly
kind: deterministic
check: "For each client meeting the threshold, a markdown file is written to 'state/log/dormant-ping/<date>/<slug>.md' with the DM draft."
- name: never_auto_sent
kind: deterministic
check: "The run log for this skill ('state/log/dormant-ping/<date>/<run_id>.log') must contain zero instances of 'action: \"deliver\"'."
- name: tone_check_passed_for_all
kind: deterministic
check: "The evaluation score for this skill must report 'tone_violations_total: 0'."
- name: client_filters_correct
kind: judge
check: "The skill output appropriately filters clients based on 'dormant_risk ≥ threshold_days' and respects per-client thresholds from 'sources/clients/<slug>.md' if present."AGENTS.md- what the AI loads when this skill comes up
dormant-ping - loader
Per-turn rules for the dormant-ping skill. Full reference: state/skills/dormant-ping/SKILL.md. Do not skip these.
Critical Rules
- NEVER auto-send. The skill writes drafts to
state/log/dormant-ping/<date>/<slug>.mdand stops. Thenever_sentinvariant is verified by lint greppping foraction: "deliver"rows (must be zero). Sending is a separate explicit skill. - ALWAYS run every draft through
voice.checkTone()before writing. A "checking in" draft is exactly the kind of copy that sprouts hype words ("quick hello, just wanted to supercharge our cadence") - the gate catches it. - NEVER use scarcity framing ("idle hours", "leftover budget"). Value-first only. (feedback_no_scarcity_offers.md)
- NEVER open with personal stories ("I was…", "Last week I…"). Technical reports only. (feedback_no_personal_stories.md)
Commands
| ui dashboard | state/skills/dormant-ping/resources/ui.openui | |invoke: prose skill - read latest client-pulse output → filter dormant_days ≥ threshold → dispatch gemini per client → checkTone → write draft |verify: grep '"action":"deliver"' over state/log/chain.ndjson for this skill's run_id must return zero |eval log: state/log/evals.ndjson (auto eval - skill: "dormant-ping")
OpenUI Resource
- Skill-owned OpenUI Lang resource:
state/skills/dormant-ping/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.
Known Pitfalls
- Threshold is per-client, not global. Read from
sources/clients/<slug>.mdif present. - Score is three-part:
shape_ok && never_sent && all_drafts_pass_tone→ 1.0; missing tone-pass → 0.5; missing never-sent (auto-send attempted) → 0.0
Self-Test
An agent reading this should correctly:
- [ ] Refuse to import any send fn into this skill's run path
- [ ] Apply
voice.checkTone()to every draft before write - [ ] Read per-client threshold from
sources/clients/<slug>.md, not a global default
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] dormant-ping: <what was missing>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(date -u +%FT%TZ)] dormant-ping: <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.
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 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:56Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:56Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |