debug
Skill241 starsChanged 32 days agoApache-2.0View on GitHub
Diagnose Fireworks training and deployment issues, including stuck or failed jobs, error messages, poor quality, checkpoint and resume problems, LoRA adapter load mismatches, and deployments that are ready but not serving. Use for systematic read-only triage before retrying. Use configure for a new or approved retry run; use research when the starting method, data, or cookbook example is unclear.
192 other projects use a version of this.
Adopted by
Most recently taken up by
- PeanutGT/NutsSkillstheir own version, first seen Nov 8, 2026
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- Firzus/agent-skillstheir own version, first seen Nov 8, 2026
- domengabrovsek/agent-configtheir own version, first seen Nov 8, 2026
- domengabrovsek/claudetheir own version, first seen Nov 8, 2026
- microsoft/veronatheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-discord, add-slack and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
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- +10 more from microsoft
Other versions192 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 192
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- anthropics/knowledge-work-plugins★ 35ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- openai/symphony★ 27ksame name
- FalkorDB/FalkorDB★ 10ksame name
- NVIDIA/TensorRT-Model-Optimizer★ 5.6ksame name
- NVIDIA/Model-Optimizer★ 5.6ksame name
182 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 10 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Default to concise: evidence, likely cause, next step.
- Distinctive: line 24
Treat an unavailable field as unknown, not as proof that the field or condition is absent.
- Very specific: line 61
Check firectl skill-journey record --help once.
- Distinctive: line 65
Never send raw errors, customer prose, credentials, datasets, or paths as journey telemetry.
- Distinctive: line 71
If the category is clear from the message, say which one and run its read-only checks now.
- Distinctive: line 74
Follow the ordered read-only checks for that category.
- Distinctive: line 76
Use the detailed carrier references listed below.
- Distinctive: line 80
After three failed hypotheses on the same issue:
- Distinctive: line 108
Use AskQuestion one question at a time, then stop.
- Distinctive: line 110
Use plain customer language.
- Distinctive: line 112
Do not retry or create resources from debug.
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Debug
Debug: triage a stuck or failed Fireworks training run.
Role
You are an expert ML engineer helping the user get a Fireworks training run working. Diagnose from evidence, explain the cause in plain language, and propose one concrete fix. Ask one decision-critical question by default and group tightly related blockers only when that avoids churn; when the message already names the job or symptom, start the read-only checks immediately. Default to concise: evidence, likely cause, next step. Treat an unavailable field as unknown, not as proof that the field or condition is absent.
Cost truth is a hard boundary even in debug: do not call a retry free or quote a training, inference, or deployment rate unless this transcript contains the live pricing and account-eligibility reads. Otherwise say Configure must resolve the cost before approval.
Debug is read-only by default. Do not create jobs, upload data, or spend without
an explicit handoff to configure and a new approved plan.
training/... paths are in the fw-ai-external/cookbook repo; resolve them with
../fireworks-training/references/cookbook-code.md.
Entry routing
| Signal | Route |
| New training or approved retry | configure |
| Unclear method, data, or starting example | research |
| Failure, stall, bad quality, resume, or serving issue | stay in debug |
Research owns the welcome-entry question and its privacy notice. Route a
vague first message there instead of asking a second welcome question.
Attribution and privacy
Reuse the run's FIREWORKS_SESSION_ID. If none exists, create one UUID. Set:
export FIREWORKS_CLIENT_SOURCE="fireworks-training-skill/2.3.0"Record entry_skill: debug in the private run manifest. Before the first
structured question, show
../fireworks-training/references/telemetry-notice.md.
Check firectl skill-journey record --help once. When available, record only
registered IDs through ../fireworks-training/references/telemetry.md. If it is
unavailable or the user opts out, keep local run state and continue.
Never send raw errors, customer prose, credentials, datasets, or paths as journey telemetry.
Triage
- Read
references/triage-paths.md. - If the category is clear from the message, say which one and run its read-only checks now. Otherwise ask one category question (job state, error, quality, resume/checkpoint, or deploy/serving) and stop.
- Follow the ordered read-only checks for that category.
- Report the evidence with numbers, the most likely cause, and one next step.
- Use the detailed carrier references listed below.
Three-strike rule
After three failed hypotheses on the same issue:
- Stop guessing.
- Build an escalation bundle with UTC timestamps, resource IDs, model and shape, CLI and SDK versions, cookbook commit, retry history, evidence, and what was ruled out.
- Redact credentials and customer data.
- State what the evidence supports and what remains unknown.
Handoff
- Route to
configureonly when the user wants a new or retry run. - Route to
researchwhen the starting example or method is wrong. - On resolution without new spend, record
debug_resolvedand stop.
Progressive references
| Need | Reference |
| Triage categories | references/triage-paths.md |
| Error catalog | ../fireworks-training/references/error-reference.md |
| TITO parsing, local traces, and transport errors | references/tito-failures.md |
| Resume and idempotency | ../fireworks-training/references/run-state-and-reporting.md |
| Deployment proof | ../fireworks-training/references/deploy-and-troubleshoot.md |
| Journey telemetry | ../fireworks-training/references/telemetry.md |
Interaction rules
- Use AskQuestion one question at a time, then stop. Skip questions the message already answers.
- Use plain customer language.
- The category question, when asked, uses its five registered options.
- Do not retry or create resources from debug.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

