Exported functions in state/lib/clients.ts. .md file to compare - side-by-side diff against clients
clients
description: "Triggers on prompt mention of 'clients'."
What it does for you
Keeps your clients organized from first contact through ongoing work.
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 3/4 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/clients/SKILL.md
present
state/lib/clients.ts
present
state/bin/clients/
not present
state/skills/clients/AGENTS.md
present
how it's graded - what counts as a good run 4 criteria · 4 deterministic
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 5/5 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/pending-eval.ndjson - sendSlackMessage and sendText are write-effect — surface through scope/apply gate, never auto-fire
- ALWAYS use getClients() as the source of truth for the active-client list — don't read sources/clients/ ad-hoc
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- who makes it, who checks it
import { getClients, getClientHealth, sendSlackMessage, sendText, listContacts } from "state/lib/clients.ts"
npx tsx -e 'import("/Users/robertboulos/projects/snappy-os/state/lib/clients.ts").then(m => console.log(Object.keys(m)))'
SKILL.md- the skill, written out in plain English
clients
Client lifecycle router for all snappy-* skills.
Ported from kernel snappy-clients in Phase 0.5. See state/lib/clients.ts for the full API surface.
Steps
getClients()- seestate/lib/clients.tsgetClientHealth()- seestate/lib/clients.tssendSlackMessage()- seestate/lib/clients.tssendText()- seestate/lib/clients.tslistContacts()- seestate/lib/clients.ts
Eval
Actor: the exported functions in state/lib/clients.ts. Auditor: none wired yet - eval is manual (Robert review). File a state/log/pending-eval.ndjson row on each run.
Score convention:
| Outcome | Score |
|---|---|
| Pass on first try | 1.0 |
| Failed first, auto-fix applied, re-check passed | 0.5 |
| Still failing or unrecoverable | 0.0 |
Gotchas
via the Phase 0.5 driver. Only these rewrites were applied: already in state/lib/)
realpathSync(process.argv[1])CLI guard wrapped in try/catch
- See the kernel SKILL.md for the original long-form guidance if you need it
(read-only reference at the kernel path above).
Graduation
This skill is prose. Graduate by defining a deterministic auditor and flipping eval: auto.
Rubric
criteria:
- name: calls_correct_function
kind: deterministic
check: "The skill calls the `state/lib/clients.ts` function corresponding to the provided input, e.g., `getClients()` for `getClients_input`."
- name: handles_all_inputs
kind: deterministic
check: "The skill has logic to correctly route and process all declared inputs: `getClients_input`, `getClientHealth_input`, `sendSlackMessage_input`, `sendText_input`, and `listContacts_input`."
- name: uses_correct_api_surface
kind: deterministic
check: "The skill exclusively uses the API surface defined in `state/lib/clients.ts` for client lifecycle operations without introducing external dependencies for these functionalities."
- name: logs_pending_eval_row
kind: deterministic
check: "Upon execution, a row is appended to `state/log/pending-eval.ndjson` as per the manual evaluation instructions."AGENTS.md- what the AI loads when this skill comes up
clients - loader
Per-turn rules for the clients skill. Full reference: state/skills/clients/SKILL.md. Do not skip these.
Critical Rules
_(no failures recorded yet - Phase 0.5 mechanical port from kernel snappy-clients. Read state/skills/clients/SKILL.md and state/lib/clients.ts before invoking.)_
sendSlackMessageandsendTextare write-effect - surface through scope/apply gate, never auto-fire- ALWAYS use
getClients()as the source of truth for the active-client list - don't readsources/clients/*ad-hoc
Commands
| ui dashboard | state/skills/clients/resources/ui.openui | |invoke: import { getClients, getClientHealth, sendSlackMessage, sendText, listContacts } from "state/lib/clients.ts" |verify: npx tsx -e 'import("/Users/robertboulos/projects/snappy-os/state/lib/clients.ts").then(m => console.log(Object.keys(m)))' |eval log: state/log/pending-eval.ndjson (skill: "clients")
OpenUI Resource
- Skill-owned OpenUI Lang resource:
state/skills/clients/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
- Phase 0.5 port - only mechanical rewrites applied (settings/load → env, sibling rewires, CLI guard)
- The per-client libs (
client-ray,client-scott,client-orbiter,client-total) wrap channel-specific logic - prefer those when the client is known
Self-Test
An agent reading this should correctly:
- [ ] Treat
sendSlackMessage/sendTextas write-effect (gate before applying) - [ ] Use
getClients()rather than reading the sources index directly - [ ] Defer to per-client libs when the client is known
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] clients: <what was missing>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(date -u +%FT%TZ)] clients: <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
#!/usr/bin/env npx tsx
/**
* snappy-clients/api.ts -- Client lifecycle router for all snappy-* skills.
*
* Re-exports from knowledge, slack, and telegram. Adds client-specific
* helpers for listing active clients and checking client health.
*
* Usage:
* npx tsx api.ts list # list active clients
* npx tsx api.ts health client # check client health by tag
*
* Or import as module:
* import { getClients, getClientHealth } from "./clients.ts";
*/
// --- Re-exports from child skills ---
export { sendSlackMessage as slackPost } from "./slack.ts";
export { sendText as telegramPost } from "./telegram.ts";
import { listContacts, getDormant } from "./knowledge.ts";
import { env } from "./env.ts";
import { realpathSync } from "fs";
export { listContacts };
// --- Client-specific helpers ---
/**
* List all contacts tagged "client".
*/
export async function getClients() {
return listContacts("client");
}
/**
* Check client health: pull contacts by tag + check dormant status.
* Returns the client contacts and any that are dormant (>5 days no contact).
*/
export async function getClientHealth(clientTag = "client") {
const [clients, dormant] = await Promise.all([
listContacts(clientTag),
getDormant(5),
]);
const dormantNames = new Set(
Array.isArray(dormant) ? dormant.map((c: { name: string }) => c.name) : []
);
const clientList = Array.isArray(clients) ? clients : [];
const healthy = clientList.filter((c: { name: string }) => !dormantNames.has(c.name));
const stale = clientList.filter((c: { name: string }) => dormantNames.has(c.name));
return { total: clientList.length, healthy, stale };
}
// --- CLI ---
if ((() => { try { return import.meta.url === `file://${realpathSync(process.argv[1])}`; } catch { return false; } })()) {
(async () => {
const [, , cmd, ...args] = process.argv;
switch (cmd) {
case "list": {
const data = await getClients();
if (Array.isArray(data)) {
for (const c of data) {
console.log(` ${c.name} last_contact=${c.last_contact || "never"} preferred=${c.preferred_channel || "unknown"}`);
}
console.log(`\nTotal: ${data.length} clients`);
} else {
console.log(JSON.stringify(data, null, 2));
}
break;
}
case "health": {
const tag = args[0] || "client";
const data = await getClientHealth(tag);
console.log(`=== CLIENT HEALTH (tag: ${tag}) ===`);
console.log(`Total: ${data.total} Healthy: ${data.healthy.length} Stale (>5d): ${data.stale.length}`);
if (data.stale.length) {
console.log("\nStale clients:");
for (const c of data.stale) {
console.log(` ${c.name} last_contact=${c.last_contact || "never"}`);
}
}
break;
}
default:
console.log("Usage: npx tsx api.ts [list|health] ...");
}
})();
}
scripts- helper scripts it can run
prose-only skill - 1 inline code block 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 15:56Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:58Z | - | 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 15:58Z | - | 1.00 | - | - |