feat: add batch-wizard skill for guided batch job creation#38
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Covers _cleanup_rate_limit_artifacts() and _do_cleanup_rate_limit_artifacts() from PR JCSnap#32. Uses tmp_path-based fake ~/.claude/ directories with Path.home() patched — no real filesystem state touched. Tests (CLN-001 through CLN-023): - Deletion of all four artifact types (JSONL, todo, debug, telemetry) - Preservation of old, large, non-empty, and uncorrelated files - Cleanup only triggered on rate-limit results (not success/failure) - Missing directories, per-file OSError isolation, top-level exception safety - Resolved working directory stashing, YAML non-persistence, fallback Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Matthew Tibbits <mtibbits@users.noreply.github.com>
After each job completes during `claude-queue start`, print duration and token usage (input + output) extracted from Claude Code's JSONL conversation logs. Detailed cache breakdowns are persisted in the prompt's execution log. Uses the existing JSONL files under ~/.claude/projects/ rather than switching to --output-format json, preserving text-mode stdout, Fix 2 rate-limit detection, and all existing tests unchanged. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Matthew Tibbits <mtibbits@users.noreply.github.com>
Adds `claude-queue cleanup [--dry-run]` to remove rate-limit artifacts from ~/.claude/. Identifies rate-limited sessions by scanning debug transcripts for 'rate_limit_error', then deletes correlated JSONL, todo, and telemetry files by UUID. No claude binary needed (E3 pattern). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Matthew Tibbits <mtibbits@users.noreply.github.com>
Allow users to specify a Claude model ID (e.g. claude-haiku-4-5-20251001) per queued prompt via YAML frontmatter or `claude-queue add --model`. When set, the value is passed to the claude CLI via `--model <id>`. - models.py: add `model: Optional[str]` field to QueuedPrompt - storage.py: R7 type-safe coercion in parse, round-trip in write, include in templates and bank list output - claude_interface.py: inject `--model` flag before positional prompt - cli.py: add `--model/-m` to `add` subparser, display in `bank list` - CLAUDE.md: add model field to YAML schema, --model to CLI reference - 14 new tests across all 4 test files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Matthew Tibbits <mtibbits@users.noreply.github.com>
Ten-phase interactive workflow that walks users through scoping, target discovery, prompt design, variable extraction, CSV generation, priority config, dry-run generation, adversarial red-team review, token efficiency optimization, and launch. Includes a visual progress tracker at each phase transition. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Matthew Tibbits <mtibbits@users.noreply.github.com>
- Move skill to src/claude_code_queue/skills/batch-wizard/ to match existing queue skill location and package data glob - Update install-skill CLI to discover and install all bundled skills, with optional skill_name argument for selective install - Remove invalid allowed-tools frontmatter field - Use explicit CSV path (~/.claude-queue/bank/) instead of vague location - Fix speculative language in Phase 8c parallelism section - Widen time estimate in Phase 10 to ~1-3 min/job Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Matthew Tibbits <mtibbits@users.noreply.github.com>
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Summary
batch-wizardskill (skills/batch-wizard/SKILL.md) that provides a 10-phase guided workflow for designing and generating batch queue jobs[x]/-->/[ ]) printed at each phase transition so the user always knows where they are and what's comingTest plan
claude-queue batch generateoutput🤖 Generated with Claude Code