debugging-job-invocation
Loads when a workspace job tool (called from chat) returns `output-error` with no meaningful error text — typically because the tool was invoked with bare `{}`. Job tools require `{prompt: "..."}` — the prompt becomes the signal payload. Do NOT conclude "the tool isn't bound to this chat session"; retry with a prompt arg first. Also covers Pattern A vs Pattern B job shapes and the manual / signal-name distinction.
npx skills add friday-platform/friday-studio --skill debugging-job-invocation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Debugging job invocation Symptom: a workspace job tool was called from chat and returned `state=output-error` with little or no error text. The chat agent's instinct is to declare "the tool isn't bound to this chat session" and abandon the job. That instinct is wrong. ## Quick fix: pass a `prompt` arg Job tools accept `{prompt: "..."}` — the prompt becomes the signal payload. Calling with bare `
What does the debugging-job-invocation skill do?
Loads when a workspace job tool (called from chat) returns `output-error` with no meaningful error text — typically because the tool was invoked with bare `{}`. Job tools require `{prompt: "..."}` — the prompt becomes the signal payload. Do NOT conclude "the tool isn't bound to this chat session"; retry with a prompt arg first. Also covers Pattern A vs Pattern B job shapes and the manual / signal-name distinction.
How do I install it?
Run `npx skills add friday-platform/friday-studio --skill debugging-job-invocation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From friday-platform/friday-studio, a repository with 98 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.