mir-init
SolidMake It Right (project init). Prepares a repository's Make It Right harness before feature work starts: detects the stack from lockfiles, confirms it through a deterministic picker (never guesses), resolves the matching mir-* skills, and generates the per-project artifacts — a thin AGENTS.md that names the applicable pillars, a CLAUDE.md that imports it, a .mir/manifest.json write policy, and a .claude/settings.json PreToolUse hook that enforces it — then runs a manifest-derived probe to prove the hook actually blocks the denied paths. It is a thin wrapper over the CLI at init/cli.py; it installs no software and generates no code. TRIGGER when a user is setting up a new or existing repo for AI coding agents, asks to 'prepare/scaffold/bootstrap the harness', to generate AGENTS.md/CLAUDE.md/hooks, or to choose and lock a stack. SKIP for writing feature code (that is the backend/frontend/mobile pillars and their gated pipeline), for one-off task constraints (the constraint-interrogator handles those at Gate 1),
Install
Quality Score: 81/100
Skill Content
Details
- Author
- anantbhandarkar
- Repository
- anantbhandarkar/make-it-right
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
mir-backend
Make It Right (backend pillar). Constraint-first backend planning protocol for AI coding agents — AI makes code that WORKS on the happy path; this makes it RIGHT under concurrency, failure, and load. Forces the model OUT of pattern-completion ('autocomplete from latent space') and INTO explicit constraint discovery before any code is written. Use whenever a task involves backend logic that changes state, touches money/inventory/auth, spans multiple tables or services, runs under concurrency, or persists data beyond a single request. Runs a hard-gated pipeline: Intent → Constraint Interrogation → Assumption Ledger → Invariants & Failure Modes → Risk Register → Design Review → Implementation → Production-Readiness Review. Spawns specialized reviewer sub-agents. Chains into a runtime tier (e.g. mir-backend-python for CPython concerns) and a framework module (e.g. mir-backend-python-fastapi for FastAPI/SQLAlchemy/Alembic). TRIGGER for backend work in ANY language (Python, Node, TypeScript, Go, Rust, Java, Kotlin,
init-harness
One-shot initialization of a parallel-terminal Claude Code build harness in a project - a git worktree and branch per terminal, phase checkboxes as the task queue, pinned model/effort per agent, mechanical git-tag gates, hardened read/gate/log hooks, and a SQLite agent-memory shard per terminal. Use when the user says "/init-harness", "init-harness", "initialize the harness", "set up the build harness", "scaffold this project's harness", "bootstrap the agent harness", or drops in a project-context.yml and asks to initialize. Also use when a project needs multi-terminal agent orchestration with gates, or when an existing harness must be verified or repaired (hooks not firing, guards not blocking, .agents drift). Do NOT use for adding a single agent or skill to an existing project.
init
Set up this SDD harness in a project — detect the toolchain, interview for what cannot be inferred, and write .steering, .specs, .work_logs, a project-specific reviewer, and the hooks. Use once per project, or to migrate a project that already has parts of the harness.