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

post

Sends your content out to the right places in one step.
description: "Triggers on prompt mention of 'post'."
personal 2 files 10 recent evals

What it does for you

Sends your content out to the right places in one step.

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

actorExported functions in state/lib/post.ts.
auditorNone wired yet - eval is manual (Robert review).
eval modeshape
categoryChannels
stages1
dependslinkedin, slack

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.

The skill
state/skills/post/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/post.ts present
code the skill can run
Reusable code this skill can call when it needs to.
Scripts
state/bin/post/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/post/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 3 criteria · 1 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
posts_all_channels_called
judge
The skill calls at least one function from each of the 'linkedin' and 'slack' dependencies for relevant inputs.
logging_entry_present
deterministic
A new row is appended to 'state/log/pending-eval.ndjson' for each skill execution.
api_surface_used_correctly
judge
The skill uses the functions createPost(), sendMessage(), and sendText() as defined in 'state/lib/post.ts' with appropriate arguments based on the input.

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.

makes the work The worker
present
Exported functions in state/lib/post.ts. the worker
Does the actual work. Whatever it produces is what gets checked next.
checks the work The reviewer
present
None wired yet - eval is manual (Robert review). the checker
A separate checker grades the work, so the part that made it can't approve its own work.
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/pending-eval.ndjson pending runs
Every run is written down here, then reviewed by hand each week.
Critical rules the things this skill must not get wrong
  1. NEVER call the lib's createPost or sendMessage directly — kernel had a name collision; the patched names are createLinkedInPost and sendSlackMessage in state/lib/post.ts.
  2. ALWAYS run final draft text through state/lib/voice.ts checkTone() BEFORE calling any post fn — channel APIs do not gate, and a hype-word draft will ship.
  3. ALWAYS verify the post landed via independent fetch from a different session (actor != auditor). The write API's 200 response is not evidence.
  4. NEVER fan out parallel browser writes against one session — DOM-mutation agents silently drop writes. Serialize uploads.

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- who makes it, who checks it

inputs linkedinslack
actor Exported functions in state/lib/post.ts.
auditor None wired yet - eval is manual (Robert review).
1 data
eval log
`state/log/pending-eval.ndjson` (skill: "post") — manual until auditor wired

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

post

Unified distribution router for all snappy-* skills.

Ported from kernel snappy-post in Phase 0.5. See state/lib/post.ts for the full API surface.

Steps

  • createPost() - see state/lib/post.ts
  • sendMessage() - see state/lib/post.ts
  • sendText() - see state/lib/post.ts

Eval

Actor: the exported functions in state/lib/post.ts. Auditor: none wired yet - eval is manual (Robert review). File a state/log/pending-eval.ndjson row on each run.

Score convention:

OutcomeScore
Pass on first try1.0
Failed first, auto-fix applied, re-check passed0.5
Still failing or unrecoverable0.0

Gotchas

via the Phase 0.5 driver. Only these rewrites were applied: already in state/lib/)

  1. 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: posts_all_channels_called
    kind: judge
    check: "The skill calls at least one function from each of the 'linkedin' and 'slack' dependencies for relevant inputs."
  - name: logging_entry_present
    kind: deterministic
    check: "A new row is appended to 'state/log/pending-eval.ndjson' for each skill execution."
  - name: api_surface_used_correctly
    kind: judge
    check: "The skill uses the functions createPost(), sendMessage(), and sendText() as defined in 'state/lib/post.ts' with appropriate arguments based on the input."

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

post - loader

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

Critical Rules

  • NEVER call the lib's createPost or sendMessage directly - kernel had a name collision; the patched names are createLinkedInPost and sendSlackMessage in state/lib/post.ts.
  • ALWAYS run final draft text through state/lib/voice.ts checkTone() BEFORE calling any post fn - channel APIs do not gate, and a hype-word draft will ship.
  • ALWAYS verify the post landed via independent fetch from a different session (actor != auditor). The write API's 200 response is not evidence.
  • NEVER fan out parallel browser writes against one session - DOM-mutation agents silently drop writes. Serialize uploads.

Commands

| ui dashboard | state/skills/post/resources/ui.openui | |invoke (TS): import { createLinkedInPost, sendSlackMessage, sendText } from "../lib/post.ts" |verify (LinkedIn): independent fetch via state/lib/linkedin.ts |verify (Slack): independent fetch via state/lib/slack.ts |eval log: state/log/pending-eval.ndjson (skill: "post") - manual until auditor wired

OpenUI Resource

  • Skill-owned OpenUI Lang resource: state/skills/post/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.

Known Pitfalls

  • The Phase 0.5 port renamed two functions to avoid kernel collision; if you copy/paste from kernel docs the call name will be wrong.
  • This is a router, not a channel. It dispatches to lib/linkedin.ts, lib/slack.ts, lib/telegram.ts, lib/whatsapp.ts under the hood.

Self-Test

An agent reading this should correctly:

  1. [ ] Use createLinkedInPost (not createPost) when posting to LinkedIn
  2. [ ] Run checkTone() on the draft before calling any post fn
  3. [ ] Verify a post via independent fetch, not the write response

Self-report

If this loader fell short, append a line:

echo "[$(date -u +%FT%TZ)] post: <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)] post: <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-post/api.ts -- Unified distribution router for all snappy-* skills.
 *
 * Re-exports posting functions from each channel skill so agents have
 * a single import surface for multi-platform distribution.
 *
 * Usage:
 *   npx tsx api.ts linkedin "Hook line.\n\nBody."
 *   npx tsx api.ts slack C09DD2D0S07 "Hello"
 *   npx tsx api.ts telegram "Deploy done"
 *
 * Or import as module:
 *   import { linkedinPost, slackPost, telegramPost } from "./post.ts";
 */

// --- Re-exports from channel skills ---

export { createLinkedInPost as linkedinPost } from "./linkedin.ts";
export { sendSlackMessage as slackPost } from "./slack.ts";
export { sendText as telegramPost } from "./telegram.ts";

// --- CLI ---

if (import.meta.url === `file://${process.argv[1]}`) {
  (async () => {
    const { createLinkedInPost: createPost } = await import("./linkedin.ts");
    const { sendSlackMessage: sendMessage } = await import("./slack.ts");
    const { sendText } = await import("./telegram.ts");

    const [, , cmd, ...args] = process.argv;

    switch (cmd) {
      case "linkedin": {
        const text = args.join(" ");
        if (!text) { console.error("Usage: api.ts linkedin <text>"); process.exit(1); }
        const data = await createPost(text);
        console.log(JSON.stringify(data, null, 2));
        break;
      }
      case "slack": {
        const [channelId, ...textParts] = args;
        if (!channelId || !textParts.length) { console.error("Usage: api.ts slack <channel_id> <text>"); process.exit(1); }
        await sendMessage(channelId, textParts.join(" "));
        console.log("sent");
        break;
      }
      case "telegram": {
        const text = args.join(" ");
        if (!text) { console.error("Usage: api.ts telegram <text>"); process.exit(1); }
        const result = await sendText(text);
        console.log(`sent message_id=${result.message_id}`);
        break;
      }
      default:
        console.log("Usage: npx tsx api.ts [linkedin|slack|telegram] ...");
    }
  })();
}

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

rubric shape schema-shape check (no inline rubric)
recent mean 1.00 · 10 runs actor/auditor: unverifiable
deps linkedin slack
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 - -