debug
Diagnose Fireworks training and deployment issues, including stuck or failed jobs, error messages, poor quality, checkpoint and resume problems, LoRA adapter…
Skill by fw-aiOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: data, research, debugging
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/debug
What's inside
- Skill name
debug- Description
- 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.
- License
- Apache-2.0
- Instructions
- 103 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- tito-failures.md · references/
- triage-paths.md · references/
SKILL.md (first lines)
# 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/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: ```bash 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 1. Read `references/triage-paths.md`. 2. 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. 3. Follow the ordered read-only checks for that category. 4. Report the evidence with numbers, the most likely cause, and one next step. 5. Use the detailed carrier references listed below. ## Three-strike rule After three failed hypotheses on the same issue: 1. Stop guessing. 2. 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. 3. Redact credentials and customer data. 4. State what the evidence supports and what remains unknown. ## Handoff 1. Route to `configure` only when the user wants a new or retry run. 2. Route to `research` when the starting example or method is wrong. 3. On resolution without new spend, record `debug_resolved` and 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 1. Use AskQuestion one question at a time, then stop. Skip questions the message already answers. 2. Use plain customer language. 3. The category question, when asked, uses its five registered options. 4. Do not retry or create resources from debug.
From fw-ai/cookbook, Apache-2.0.
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- 0.798score
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Compatibility redirect and shared reference carrier for the Fireworks training skills.
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Signals
- Stars
- 231
- Forks
- 65
- Open issues
- 5
- Last commit (this folder)
- Oct 21, 2026 (7 days ago)
- Last release
- Oct 21, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/fw-ai/cookbook
- Website
- fireworks.ai/docs
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from fw-ai
- 0.798score
configure
fw-aiOfficial
Plan, run, and monitor Fireworks training from a coding agent.
SkillAFreshness: A★ 231Claude Code +9 - 0.798score
research
fw-aiOfficial
Plan Fireworks post-training from a task-shaped goal — recommend a method, cookbook entry, data plan, and eval from what the user already said, ask only…
SkillAFreshness: A★ 231Claude Code +9 - 0.792score
fireworks-training
fw-aiOfficial
Compatibility redirect and shared reference carrier for the Fireworks training skills.
SkillAFreshness: A★ 231Claude Code +9 - 0.783score
discover
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Deprecated redirect — use research instead.
SkillAFreshness: A★ 231Claude Code +9
Cite this page
debug skill. Agent Mart. https://agentmart.dev/skills/fw-ai-debug (last updated 2026-10-24)