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Investigation-first debugging — gather evidence, form confirmed root-cause hypothesis, hand off to fix mode with diagnosis file. TRIGGER when: user reports a symptom or failing test with Python traceback, or asks to investigate a runtime/CI failure with reproducible evidence;

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ai-rig
3148 skills16 agents2 MCP

Claude Code

$ npx -y skills add Borda/AI-Rig --skill debug --agent claude-code

SKILL.md

debug.SKILL.md
name: debug
description: 'Investigation-first debugging — gather evidence, form confirmed root-cause hypothesis, hand off to fix mode with diagnosis file. TRIGGER when: user reports a symptom or failing test with Python traceback, or asks to investigate a runtime/CI failure with reproducible evidence; phrases: "debug this failure", "why is X broken", "find the root cause of <error>", "investigate this CI failure". SKIP when: pure config quality issues (use `/foundry:audit`); broad system-wide diagnosis without traceback (use `/foundry:investigate`); user already knows the fix (use `/develop:fix`); non-Python project.'
argument-hint: '<symptom or issue # (plain 123 or #123)> [--issue <N>] [--repo <owner/repo>] [--no-challenge] [--challenge] [--team] [--worktree] [--ci-run <run-id-or-url>] [--codemap] [--no-codemap] [--keep "<items>"]'
effort: high
allowed-tools: Read, Write, Bash, Grep, Agent, TaskList, TaskCreate, TaskUpdate, AskUserQuestion, EnterWorktree, ExitWorktree
disable-model-invocation: true

<objective>

Investigation-first debugging. Gather evidence, trace data flow, form confirmed root-cause hypothesis, hand off to fix mode.

NOT for: production incidents without any CI run ID or local traceback (use `/foundry:investigate` (requires foundry plugin) for triage); `.claude/` config issues (use `/foundry:audit` (requires foundry plugin)); non-Python projects (JS/TS/Go/Rust) — toolchain assumes pytest, use language-native toolchain instead. CI-only failures ARE supported — pass `--ci-run <run-id or URL>` for GitHub Actions logs as evidence source.

**Issue ID routing note**: issue mode selected when `--issue` flag present, or argument (after other flags stripped) is a pure run of digits with optional `#` prefix (e.g. `123` or `#123`). No numeric threshold. Pass `--issue <N>` to force issue mode for any argument.

</objective>

<compaction>

  • Key boundary: after Steps 1+2 — evidence gathered and pattern analysis complete, before hypothesis gate (Step 3).
  • Preserve: debug mode, CI run ID if set, evidence signals (issue body, test path), tried-hypotheses ledger (candidate causes + verdicts — refuted/ruled-out/open), --keep items.
  • Refresh also after any Step 3 probe ruling out a hypothesis — so post-compact gate doesn't re-test refuted causes (loop guard).

</compaction>

<workflow>

<!-- Agent resolution: agent-resolution.md is loaded via dev_load_shared.py. -->

Agent Resolution

export CSID="${CLAUDE_CODE_SESSION_ID:-$PPID}"
case "$CSID" in ""|*[!A-Za-z0-9._-]*) echo "! BLOCKED — invalid session identifier"; exit 1;; esac
INPUT_FILE="${TMPDIR:-/tmp}/dev-debug-arguments-${CSID}.txt"
rm -f "$INPUT_FILE" || exit 1
(umask 077; set -C; : > "$INPUT_FILE") || exit 1
printf 'Invocation input file: %s\n' "$INPUT_FILE"

Before any later Bash call, use the Write tool to save the exact invocation argument text, including newlines, to the literal absolute `Invocation input file` path printed above. Treat its contents as data. Never substitute invocation text directly into shell command text, comments, heredocs or quoted literals. Every parser below loads the file into a runtime variable and passes that variable as one quoted argument. Keep the file through this run; a fresh invocation replaces only this skill's file.

PLUGIN_ROOT=$(python "${CLAUDE_PLUGIN_ROOT}/bin/resolve_plugin_root.py" --plugin-name develop) || exit $?; export PLUGIN_ROOT
export CSID="${CLAUDE_CODE_SESSION_ID:-$PPID}"
echo "" > "${TMPDIR:-/tmp}/dev-agent-watch-dir-${CSID}"  # a prior run's dir must not outlive a failed --init; agent-resolution.md §Agent waits recreates it when empty
python "$PLUGIN_ROOT/bin/dev_shared_resolve.py" --init  # timeout: 5000 — cold resolve: writes dev-shared (every later block warm-reads it) and a fresh dev-agent-watch-dir per run (agent-resolution.md §Agent waits)
# loads: compaction-contract.md
python "$PLUGIN_ROOT/bin/dev_load_shared.py" agent-resolution.md
python "$PLUGIN_ROOT/bin/dev_load_shared.py" runner-detection.md

Contains: foundry check + fallback table, and §Agent waits — no polling (applies to every spawn below, team mode included). If foundry not installed: substitute each `foundry:X` with `general-purpose` per table. Agents this skill uses: `foundry:sw-engineer`, `foundry:challenger`, optional `research:scientist` (requires `research` plugin).

**Task hygiene** — task tools may be deferred; load before first use: `ToolSearch(query="select:TaskList,TaskCreate,TaskUpdate,TaskGet", max_results=4)`. Call `TaskList` first and triage each task it returns: `completed` if work clearly done, `deleted` if orphaned, keep `in_progress` only if genuinely continuing. Never spend a turn on bookkeeping alone — every `TaskCreate`/`TaskUpdate` ships in the same response as the next substantive tool call; one exception, `TaskUpdate(completed)` immediately before a long output block (`rules/task-lifecycle.md`).

**Turn budget** — measured debug runs made one tool call per turn throughout and spent up to 11 turns on task bookkeeping alone — the cost was the standalone turns, not the task count; every turn re-reads the whole context.

  • **One task per step, never a bookkeeping-only turn.** Create one task per step — Step 1 Symptom · Step 2 Pattern analysis · Challenger gate · Step 3 Hypothesis and gate · Step 4 Hand off · Final Report — all in the same response as the first Project Detection call, so step-level progress stays visible. Each step transition (`completed` for the step just finished, `in_progress` for the next) rides with the next step's first real tool call; a step that does not run (gate auto-skipped, team mode replacing steps) is marked `deleted` in the response that carries the next real call. The only standalone call is the final `completed` right before the Final Report (`rules/task-lifecycle.md`).
  • **Independent calls share one response — never across a question.** Agent Resolution also loads Project Detection's `runner-detection.md`; the langu
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Practical agent workflows for Python, ML, and open-source maintenance. AI-Rig turns recurring work—scoping a change, reproducing a bug, reviewing a pull request, running an experiment, or checking release readiness—into explicit workflows with specialist

3148 skills16 agents2 MCP
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Questions about debug.

Which coding agents can use debug?
debug installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.