Plugin Claude Code
Production-validated protocols, agent definitions, and automation frameworks for systematic AI-assisted software development. Includes modernize workflow (assess → plan → execute) and autocoder autonomous issue resolution. Originally created for .NET migrations, these protocols are universally applicable to any…
Settings file Claude Code
Agent protocols and configurations for SPARC development.
Skill Claude CodeCodex
Use this skill for autonomous GitHub issue resolution, issue triage, regression-test failure handling, proposal review, blocked-issue review, worker monitoring, and continuous fix loops in repositories that use the autocoder workflow.
Skill Claude CodeCodex
Use this skill for modernization assessments, migration planning, multi-phase modernization execution, quality-gate enforcement, and retrospective process improvement in repositories that follow the modernize workflow.
Instructions file CodexOpenCode
AGENTS.md instructions for laird/agents, covering agents.md, build/lint/test commands, testing, history logging and code style guidelines.
Instructions file
Claude Code instructions for laird/agents, covering claude.md, repository overview, issue management, commands and primary workflow commands.
Instructions file Gemini CLI
Gemini CLI instructions for laird/agents, covering gemini.md, repository overview, issue management, parallel maintenance requirement and workflows.
Command
Approve one or more AI-generated proposals for implementation by removing the proposal label.
Command
Start by examining the environment to give contextual guidance.
Command
Use AI-powered brainstorming to explore design options, clarify requirements, and develop implementation approaches for a GitHub issue.
Command
Resolve and close an issue with an optional closing comment.
Command
Phase 3 fix-loop token-efficiency (spec §5.3, §10 Phase 3, §7.1.1 verified 2026-05-21). Haiku gate; fix work dispatched to Sonnet/Opus via Task model=.
Command
Wrapper around /autocoder:fix that runs it in a loop forever.
Command
Analyze all open GitHub issues, prioritize them, and begin systematically fixing or implementing them starting with the highest priority.
Command
Run the complete regression test suite, analyze all results (successes and failures), and manage GitHub issues accordingly.
Command
Slim fix-loop gate. Per spec §5.3 / §7.1.1, no model: frontmatter: inherits the model from whatever invokes it (fix-loop's loop model). A Haiku-pinned variant (/autocoder:dispatch) is Phase 3, not here. -->.
Command
Improve test coverage using persistent coverage report.
Command
Complete installation of autocoder plugin components for autonomous issue resolution and parallel agent coordination.
Command
List open issues, optionally filtered by label or priority.
Command
Display all open issues that require design work before implementation. Uses the configured issue source (file or GitHub).
Command
Display all open issues that require human feedback or clarification. Uses the configured issue source (file or GitHub).
Command
Display all AI-generated enhancement proposals awaiting human review and approval. Uses the configured issue source (file or GitHub).
Command
Snapshot manager session state to MANAGER-STATE.md in the project root, then guide the manager through a clean context reset. Run /autocoder:manager-resume in the fresh session to reload.
Command
Load a fresh manager session with full situational awareness. Reads MANAGER-STATE.md (saved by /autocoder:manager-handoff), then queries live GitHub state and worker screens to show the delta since the save.