sprint
Automated sprint planning and execution from technical specifications (prompt generation, dependency planning, stateful execution)
cli-detector
Detect installed AI coding CLIs and local model providers; outputs a cached JSON inventory for routing (/detect-clis).
Full skill instructions
Phase 1: Detect installed Tier 1 coding CLIs (Claude, Codex, Gemini, OpenCode) via an extensible plugin system.
Run the /detect-clis renderer (tables + optional fixes):
python3 skills/cli-detector/scripts/detect_clis.py
python3 skills/cli-detector/scripts/detect_clis.py --json
python3 skills/cli-detector/scripts/detect_clis.py --dry-run
python3 skills/cli-detector/scripts/detect_clis.py --reset
python3 skills/cli-detector/scripts/detect_clis.py --fix
Run a scan and print JSON:
python3 skills/cli-detector/scripts/detector.py --scan
Verbose scan (progress to stderr, JSON to stdout):
python3 skills/cli-detector/scripts/detector.py --scan --verbose
List plugins:
python3 skills/cli-detector/scripts/detector.py --list-plugins
Check a specific CLI:
python3 skills/cli-detector/scripts/detector.py --check codex
Automated sprint planning and execution from technical specifications (prompt generation, dependency planning, stateful execution)
Read and manage daplug configuration from CLAUDE.md using <daplug_config> blocks, with legacy fallback and migration support.
Orchestrate multi-prompt execution with phase groups, optional auto-deps, and model-tiered agent roles.
Create agent-team orchestrated prompt bundles (orchestrator + sub-prompts) and store them through prompt-manager.
Check AI CLI usage/quota for Claude Code, OpenAI Codex, Google Gemini CLI, Z.AI, and Synthetic. Use when user asks about remaining quota, usage limits, rate limits, or wants to check how much capacity is left.
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