debug
Skill1 starsChanged 13 days agoMITView on GitHub
Systematically investigate a bug, error, or unexpected-behavior report, grounded in this codebase's actual docs and code graph, and produce a confirmed root-cause explanation with a fix plan without applying the fix. Use when investigating issues with /debug or diagnosing errors.
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.
Also in 11 projects that use this
- +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.
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- a11ySkill
- agents-mdSkill
- antislop-codeSkill
- antislop-copywritingSkill
- antislop-humanSkill
- antislop-layoutmobileSkill
- antislopSkill
- antislop-uiSkill
- askSkill
- audit-agentsSkill
- audit-choicesSkill
- audit-performanceSkill
- audit-testsSkill
- auto-researchSkill
- close-specSkill
- code-reviewSkill
- compare-screenshotsSkill
- design-mdSkill
- design-with-imagesSkill
- document-codebaseSkill
- eli5Skill
- eval-skillsSkill
- explore-unknownsSkill
- handoff-specSkill
- implementSkill
- learnSkill
- marketing-pagesSkill
- memorySkill
- okf-contextSkill
- preview-shotsSkill
- quick-planSkill
- ratchet-filesSkill
- refactor-cleanSkill
- rememberSkill
- repoagent-doc-generationSkill
- retroSkill
- reviewSkill
- rtkSkill
- screenshot-critiqueSkill
- specifySkill
- spec-planSkill
- spec-tasksSkill
- statusSkill
- system-designSkill
- verifySkill
- write-docsSkill
- write-skillsSkill
- write-testsSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
No code writing in this skill — only investigation and a fix plan.
- Very specific: line 19
Update code graph: Run buddhi generate via the terminal-runner agent to ensure the code graph (.buddhi/graphs/tree-graph.db and …
- Very specific: line 27
Before reading raw source, consult .buddhi/docs/ and use Buddhi MCP tools (buddhi_search, buddhi_read, see the okf-context skill) or query …
“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
$ARGUMENTS
No code writing in this skill — only investigation and a fix plan. Find the real root cause in this codebase, not a plausible-sounding guess.
Steps
- Update code graph: Run
buddhi generatevia theterminal-runneragent to ensure the code graph (.buddhi/graphs/tree-graph.dbandtree-graph.json) is up to date before investigation. - Gather the symptom from
$ARGUMENTS. If any of the following is missing, ask one question at a time — the error/symptom, reproduction steps, expected vs. actual behavior, and what changed recently (check viagit log, run through theterminal-runneragent) — stopping and waiting for the answer before asking the next. Do not batch questions. - Before reading raw source, consult
.buddhi/docs/and use Buddhi MCP tools (buddhi_search,buddhi_read, see theokf-contextskill) or query.buddhi/graphs/tree-graph.db/tree-graph.jsonfor the subsystem the symptom points to, per the harness's docs/graph-before-source convention. - Form a ranked list of candidate root causes, most likely first, based on
what step 3 turned up. If the failing area spans domains ambiguously
enough that a
/plan-style breakdown would help, optionally dispatch the relevant specialist agent(s) underagents/to narrow the candidates — this is a judgment call, not a required step. - Investigate systematically rather than jumping at the first plausible
hypothesis: reproduce the failure via
terminal-runnerwhere possible, inspect real logs/output, and eliminate candidates one at a time using that evidence. - Once the root cause is confirmed, report it with file:line references
drawn from the graph/docs (not vague descriptions), plus a concrete fix
plan — what needs to change and where. Do not write or apply the fix.
Suggest running
/verifyonce the fix has actually been applied, to prove it worked.
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.

