software engineering commands

harnessworks/harness-starter-kit

Command

Run Harness Doctor to evaluate how ready the current repository is for reliable AI coding agent collaboration.

harnessworks/harness-starter-kit

Command

Review the current change set from an opposing harness-engineering perspective.

harnessworks/harness-starter-kit

Command

Update a target repository's harness from the latest harness-starter-kit reference material.

w00fx/spec-anchored-agentic-development

Command

Orchestrate a whole project (or slice) of GitHub issues into resolution-gated waves of Orca child worktrees — one autonomous worker per ticket — and babysit every PR through CI, the applicable-lens review, and third-party feedback until the human merges. Waves are resolution-gated — merged PRs, corroborated no-change…

w00fx/spec-anchored-agentic-development

Command

Shape work through a relentless interview — interrogate an idea, a transcript, existing code, or an existing spec until shared understanding; or sharpen a task until it's implementable. Works the question frontier in rounds — every currently-askable question at once, numbered, each with a recommended answer — the…

w00fx/spec-anchored-agentic-development

Command

Break a capability spec (or the shaping conversation that produced it, or a parent issue) into tracer-bullet tickets — vertical slices anchored on the spec's pointed stable IDs (typed, never renumbered), each declaring its blocking edges. Quizzes the human on the breakdown, then publishes to a local tickets.md or to…

saitarrun/Devforge-ai

Command

Phase 2 — Build. Reads plan-handoff.md, optionally runs ux-designer (hasui gate), then loops fullstack-engineer over each slice with ralph-loop self-correction, then runs qa-engineer for E2E tests.

saitarrun/Devforge-ai

Command

Standalone issue implementation with Ralph Loop — implements a single Linear issue or free-form spec using fullstack-engineer + self-correcting retry loop.

saitarrun/Devforge-ai

Command

Master orchestrator for the complete 5-phase SDLC pipeline. Runs all phases sequentially with approval gates and handoffs between each phase. Organizes artifacts into handoffs/, docs/, and projects/ directories.

saitarrun/Sdlc-ai-workflow

Command

Phase 3 — Development & Coding. Spawns 9 agents with 4 parallel groups: backend-engineer, frontend+mobile, database, fullstack-engineer.

saitarrun/Sdlc-ai-workflow

Command

Phase 6 — Operations & Monitoring. Spawns sre-engineer, secops-analyst, data-engineer, release-manager (all in parallel).

saitarrun/Sdlc-ai-workflow

Command

Run multiple agents in parallel across phases with shared context and collaboration.

rios0rios0/guide

Command

Detect the current branch's pull request, retrieve its failing CI workflow logs, fix the root causes, commit, and push. This command auto-detects the PR from the current Git branch, fetches check run statuses, downloads failure logs, classifies each failure, implements fixes, and pushes a single commit.

rios0rios0/guide

Command

Fix all guardrail findings (make lint, make test, make sast) across one or more repositories. This command is a complete, repeatable workflow: sync with main, run all guardrails, fix every finding, update documentation, commit following standards, push, and create PRs.

rios0rios0/guide

Command

Detect the current branch's pull request and resolve its unresolved review comments. This command auto-detects the PR from the current Git branch, fetches unresolved review threads via GraphQL, classifies each comment, implements valid changes, replies with explanations, pushes, and resolves addressed threads.