.md file to compare - side-by-side diff against snappy-run
snappy-run
description: "Triggers on prompt mention of 'snappy-run' or '/snappy-run'."
What it does for you
Runs a specific helper right now, on demand.
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-run/SKILL.md
present
state/lib/snappy-run.ts
not present
state/bin/snappy-run/
not present
state/skills/snappy-run/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 run cron agents inline (bash state/bin/<agent>) — Claude Code's bash tool blocks until completion; cron agents run for minutes; a 5-minute block looks like a hang
- ALWAYS spawn with nohup ... & and capture the PID — agents must survive Claude Code session end
- Lockfile collision is SUCCESS, not failure — /tmp/claude-cron-<label>.lock collisions return immediately as a no-op; the agent IS running, score it 1 (filing as failed spawn pollutes the eval log)
- ALWAYS read live_log (field 7) from state/bin/byline/agents.sh — do not assume /tmp/snappy-run-<label>-<ts>.log. Examples: inbox-sweep → $HOME/.claude/logs/linkedin-sweep.log. If field 7 is non-empty, tail THAT
- ALWAYS log a notify row + eval row after spawn — without these, byline can't see manual runs and the PID loop can't credit the skill
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 — follow steps in `state/skills/snappy-run/SKILL.md`
SKILL.md- the skill, written out in plain English
snappy-run
One job: fire a snappy-os agent immediately, on demand. The byline points the operator here when an agent is overdue or broken.
Usage
/snappy-run <abbr-or-name>
<abbr-or-name> matches either the 3-letter abbr (swp, brk, fix, ...) or the pretty name (inbox-sweep, breaker, fixer, ...) from state/bin/byline/agents.sh.
If invoked with no argument, list every agent + its abbr + cadence so the operator can pick.
Steps
- Source
~/projects/snappy-os/state/bin/byline/agents.shto load the AGENTS
catalog.
- Match the argument case-insensitively against
abbr(field 1) orpretty
(field 3). On no match, list all 12 agents and exit.
- Extract
run_cmd(field 5) and spawn it in the background with output
redirected to /tmp/snappy-run-<label>-<ts>.log. Use nohup ... & and capture the PID.
- Append a row to
state/log/notify.ndjson:
{ts, label, kind:"run-start", note:"manual via /snappy-run pid=<pid>"}.
- Report back to the operator:
- the agent that was launched (emoji + pretty name)
- the PID
- the tail command they can paste:
tail -f /tmp/snappy-run-<label>-<ts>.log - a one-liner to check if it's still alive:
ps -p <pid>
- Log eval row to
state/log/evals.ndjson:
{ts, skill:"snappy-run", verb:"run", score: 1 if spawn-succeeded else 0, label}
Why
The byline names overdue/broken agents but the byline can't run anything - it's read-only. Operator needs a one-prompt verb to fire the agent without leaving Claude Code or memorizing 12 different cron paths.
Eval
Shape-gate:
- Spawn returns a non-empty PID.
- Background process is alive 1s after spawn (
ps -p $pidexits 0). /tmp/snappy-run-*.logwas created.
Score = 1 if all three pass else 0. Append to state/log/evals.ndjson with skill: "snappy-run", verb: "run", label: <agent label>.
Gotchas
- Do NOT run the agent inline (
bash ...blocking) - Claude Code waits for the
bash tool to return, but cron agents run for minutes. Always background.
- Use
nohupso the process survives Claude Code session end. - Some agents have their own lockfile (
/tmp/claude-cron-<label>.lock); a
duplicate spawn is a no-op, not an error. Treat that as score=1.
inbox-sweepwrites to$HOME/.claude/logs/linkedin-sweep.lognot
/tmp/...; the catalog's live_log field (7th column) tells you which. Tail that one if non-empty.
Rubric
criteria:
- name: agent_spawned_correctly
kind: deterministic
check: "Verify `ps -p <PID>` returns 0 for the reported PID 1 second after skill execution and a log file was created at `/tmp/snappy-run-<label>-<ts>.log` or the `live_log` path if specified."
- name: notification_logged
kind: deterministic
check: "Verify `state/log/notify.ndjson` contains an entry `{ts, label, kind:\"run-start\", note:\"manual via /snappy-run pid=<pid>\"}` matching the executed agent and PID."
- name: operator_report_complete
kind: judge
check: "The skill's output to the operator includes the agent's pretty name, PID, `tail -f` command, and `ps -p <pid>` check."
- name: eval_log_written
kind: deterministic
check: "Verify `state/log/evals.ndjson` contains an entry `{ts, skill:\"snappy-run\", verb:\"run\", score: 1, label: <agent label>}` if agent spawn was successful."AGENTS.md- what the AI loads when this skill comes up
snappy-run - loader
Per-turn rules for the snappy-run skill. Full reference: state/skills/snappy-run/SKILL.md. Do not skip these.
Critical Rules
- NEVER run cron agents inline (
bash state/bin/<agent>) - Claude Code's bash tool blocks until completion; cron agents run for minutes; a 5-minute block looks like a hang - ALWAYS spawn with
nohup ... &and capture the PID - agents must survive Claude Code session end - Lockfile collision is SUCCESS, not failure -
/tmp/claude-cron-<label>.lockcollisions return immediately as a no-op; the agent IS running, score it1(filing as failed spawn pollutes the eval log) - ALWAYS read
live_log(field 7) fromstate/bin/byline/agents.sh- do not assume/tmp/snappy-run-<label>-<ts>.log. Examples:inbox-sweep→$HOME/.claude/logs/linkedin-sweep.log. If field 7 is non-empty, tail THAT - ALWAYS log a notify row + eval row after spawn - without these, byline can't see manual runs and the PID loop can't credit the skill
Commands
| ui dashboard | state/skills/snappy-run/resources/ui.openui | |invoke: prose skill - follow steps in state/skills/snappy-run/SKILL.md |catalog: state/bin/byline/agents.sh (source it, match arg case-insensitively against abbr field 1 or pretty field 3) |notify log: state/log/notify.ndjson - append {ts, label, kind:"run-start", note:"manual via /snappy-run pid=<pid>"} |eval log: state/log/evals.ndjson (skill: "snappy-run", verb: "run") |append helper: state/lib/log.ts (TS) or printf '%s\n' '<json>' >> <file> (shell)
OpenUI Resource
- Skill-owned OpenUI Lang resource:
state/skills/snappy-run/resources/ui.openui. Read it before rendering or editing this skill's generated component surface. - Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
- System resources compose OpenUI primitives and inherit SnappyChat tokens. Use
ui_contract: brandedin SKILL.md only for deliberate platform or client visuals.
Known Pitfalls
- Inline
bashinstead ofnohup ... &looks like a hang to the operator - Defaulting to
/tmp/snappy-run-<label>-<ts>.logfor inbox-sweep is wrong - agent writes to$HOME/.claude/logs/linkedin-sweep.log; operator tails the wrong file and sees nothing - Skipping the notify+eval log rows means the byline shows the agent as overdue even though you just ran it
Self-Test
An agent reading this should correctly:
- [ ] Always background with
nohup ... &and never block on the agent process? - [ ] Score a lockfile-collision spawn as success (1), not failure?
- [ ] Read field 7 of the catalog to determine the correct tail target?
- [ ] Append to BOTH notify.ndjson and evals.ndjson after every spawn?
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] snappy-run: <what was missing>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(date -u +%FT%TZ)] snappy-run: <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 15:58Z | - | 1.00 | - | - |
| 2026-04-21 15:57Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-20 04:12Z | - | 1.00 | - | - |
| 2026-04-20 03:48Z | - | 1.00 | - | - |
| 2026-04-20 03:44Z | - | 1.00 | - | - |
| 2026-04-20 03:43Z | - | 1.00 | - | - |
| 2026-04-20 03:42Z | - | 1.00 | - | - |
| 2026-04-20 02:12Z | - | 1.00 | - | - |