Best for
- Use when asked to "debug this", "fix this bug", "why is this broken", "investigate this error", or "root cause analysis".
GCWing/BitFun/src/crates/assembly/core/builtin_skills/gstack-investigate/SKILL.md
Systematic debugging with root cause investigation. Four phases: investigate, analyze, hypothesize, implement. Iron Law: no fixes without root cause. Use when asked to "debug this", "fix this bug", "why is this broken", "investigate this error", or "root cause analysis". Proactively invoke this skill (do NOT debug directly) when the user reports errors, 500 errors, stack traces, unexpected behavior, "it was working yesterday", or is troubleshooting why something stopped working. (gstack)
Decision brief
Systematic debugging with root cause investigation. Four phases: investigate, analyze, hypothesize, implement.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/GCWing/BitFun --skill "src/crates/assembly/core/builtin_skills/gstack-investigate"Inspect the Agent Skill "investigate" from https://github.com/GCWing/BitFun/blob/474b5e91a76cfa6ed97afa3a9a93a35675d245c2/src/crates/assembly/core/builtin_skills/gstack-investigate/SKILL.md at commit 474b5e91a76cfa6ed97afa3a9a93a35675d245c2. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Gather context before forming any hypothesis.
Check if this bug matches a known pattern:
Before writing ANY fix, verify your hypothesis.
Once root cause is confirmed:
Fresh verification: Reproduce the original bug scenario and confirm it's fixed. This is not optional.
Permission review
The documentation asks the agent to run terminal commands or scripts.
git log --oneline -20 -- <affected-files>The documentation asks the agent to create, modify, or delete local files.
*If FREEZE_AVAILABLE:** Identify the narrowest directory containing the affected files. Write it to the freeze state file:Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 1,472 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST.
Fixing symptoms creates whack-a-mole debugging. Every fix that doesn't address root cause makes the next bug harder to find. Find the root cause, then fix it.
When this skill is invoked by BitFun Team Mode, this skill supplies the debugging methodology. Use existing Task sub-agents to gather independent evidence, then keep hypothesis selection and fixes in the main Team session.
Explore for code-path tracing and FileFinder for locating logs, configs, tests, and affected files.Gather context before forming any hypothesis.
Collect symptoms: Read the error messages, stack traces, and reproduction steps. If the user hasn't provided enough context, ask ONE question at a time via AskUserQuestion.
Read the code: Trace the code path from the symptom back to potential causes. Use Grep to find all references, Read to understand the logic.
Check recent changes:
git log --oneline -20 -- <affected-files>
Was this working before? What changed? A regression means the root cause is in the diff.
Reproduce: Can you trigger the bug deterministically? If not, gather more evidence before proceeding.
Use only BitFun in-session memory, project docs, .bitfun/team/ artifacts, git history, TODO files, and prior design/review artifacts. Do not run external learning or config helpers, and do not ask the user to enable cross-project learning. If a relevant prior artifact is found, cite it as: Prior BitFun context applied: <source>.
Output: "Root cause hypothesis: ..." — a specific, testable claim about what is wrong and why.
After forming your root cause hypothesis, lock edits to the affected module to prevent scope creep.
[ -x "BitFun built-in freeze check" ] && echo "FREEZE_AVAILABLE" || echo "FREEZE_UNAVAILABLE"
If FREEZE_AVAILABLE: Identify the narrowest directory containing the affected files. Write it to the freeze state file:
STATE_DIR="${BITFUN_TEAM_HOME:-$HOME/.bitfun/team}"
mkdir -p "$STATE_DIR"
echo "<detected-directory>/" > "$STATE_DIR/freeze-dir.txt"
echo "Debug scope locked to: <detected-directory>/"
Substitute <detected-directory> with the actual directory path (e.g., src/auth/). Tell the user: "Edits restricted to <dir>/ for this debug session. This prevents changes to unrelated code. Run /unfreeze to remove the restriction."
If the bug spans the entire repo or the scope is genuinely unclear, skip the lock and note why.
If FREEZE_UNAVAILABLE: Skip scope lock. Edits are unrestricted.
Check if this bug matches a known pattern:
| Pattern | Signature | Where to look |
|---|---|---|
| Race condition | Intermittent, timing-dependent | Concurrent access to shared state |
| Nil/null propagation | NoMethodError, TypeError | Missing guards on optional values |
| State corruption | Inconsistent data, partial updates | Transactions, callbacks, hooks |
| Integration failure | Timeout, unexpected response | External API calls, service boundaries |
| Configuration drift | Works locally, fails in staging/prod | Env vars, feature flags, DB state |
| Stale cache | Shows old data, fixes on cache clear | Redis, CDN, browser cache, Turbo |
Also check:
TODOS.md for related known issuesgit log for prior fixes in the same area — recurring bugs in the same files are an architectural smell, not a coincidenceExternal pattern search: If the bug doesn't match a known pattern above, WebSearch for:
If WebSearch is unavailable, skip this search and proceed with hypothesis testing. If a documented solution or known dependency bug surfaces, present it as a candidate hypothesis in Phase 3.
Before writing ANY fix, verify your hypothesis.
Confirm the hypothesis: Add a temporary log statement, assertion, or debug output at the suspected root cause. Run the reproduction. Does the evidence match?
If the hypothesis is wrong: Before forming the next hypothesis, consider searching for the error. Sanitize first — strip hostnames, IPs, file paths, SQL fragments, customer identifiers, and any internal/proprietary data from the error message. Search only the generic error type and framework context: "{component} {sanitized error type} {framework version}". If the error message is too specific to sanitize safely, skip the search. If WebSearch is unavailable, skip and proceed. Then return to Phase 1. Gather more evidence. Do not guess.
3-strike rule: If 3 hypotheses fail, STOP. Use AskUserQuestion:
3 hypotheses tested, none match. This may be an architectural issue
rather than a simple bug.
A) Continue investigating — I have a new hypothesis: [describe]
B) Escalate for human review — this needs someone who knows the system
C) Add logging and wait — instrument the area and catch it next time
Red flags — if you see any of these, slow down:
Once root cause is confirmed:
Fix the root cause, not the symptom. The smallest change that eliminates the actual problem.
Minimal diff: Fewest files touched, fewest lines changed. Resist the urge to refactor adjacent code.
Write a regression test that:
Run the full test suite. Paste the output. No regressions allowed.
If the fix touches >5 files: Use AskUserQuestion to flag the blast radius:
This fix touches N files. That's a large blast radius for a bug fix.
A) Proceed — the root cause genuinely spans these files
B) Split — fix the critical path now, defer the rest
C) Rethink — maybe there's a more targeted approach
Fresh verification: Reproduce the original bug scenario and confirm it's fixed. This is not optional.
Run the test suite and paste the output.
Output a structured debug report:
DEBUG REPORT
════════════════════════════════════════
Symptom: [what the user observed]
Root cause: [what was actually wrong]
Fix: [what was changed, with file:line references]
Evidence: [test output, reproduction attempt showing fix works]
Regression test: [file:line of the new test]
Related: [TODOS.md items, prior bugs in same area, architectural notes]
Status: DONE | DONE_WITH_CONCERNS | BLOCKED
════════════════════════════════════════
If you discovered a non-obvious pattern, pitfall, or architectural insight during this session, log it for future sessions:
true # BitFun Team Mode has no external telemetry helper
Types: pattern (reusable approach), pitfall (what NOT to do), preference
(user stated), architecture (structural decision), tool (library/framework insight),
operational (project environment/CLI/workflow knowledge).
Sources: observed (you found this in the code), user-stated (user told you),
inferred (AI deduction), cross-model (both BitFun and outside-voice sub-agent agree).
Confidence: 1-10. Be honest. An observed pattern you verified in the code is 8-9. An inference you're not sure about is 4-5. A user preference they explicitly stated is 10.
files: Include the specific file paths this learning references. This enables staleness detection: if those files are later deleted, the learning can be flagged.
Only log genuine discoveries. Don't log obvious things. Don't log things the user already knows. A good test: would this insight save time in a future session? If yes, log it.
Alternatives
tobihagemann/turbo
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".
tobihagemann/turbo
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".
Borda/AI-Rig
Systematic diagnosis for unknown failures — local environment, tool setup, CI vs local divergence, hook misbehavior, and runtime anomalies. Gathers signals broadly, ranks hypotheses, uses adversarial review (Codex or foundry:challenger) for ambiguous cases, probes each, and reports root cause with a recommended next action. NOT for known code bugs (/develop:debug (requires `develop` plugin)) or config quality (/foundry:audit). TRIGGER when: unknown failure with no Python traceback — hook not fir
garrytan/gstack
Systematic debugging with root cause investigation. (gstack)