Ring:Running Dev Cycle logo

Ring:Running Dev Cycle

Organization
LerianStudio
ring:running-dev-cycle

Running the backend dev cycle: implements every task in a rolling-wave plan.md (ring:writing-plans format) for a Go/TS service, driving specialist agents through Gate 0 implementation/TDD, Gate 8 parallel review, and Gate 9 validation per epic, elaborating later phases at each phase boundary. Use when starting or resuming a gated backend dev cycle with a plan.md (legacy tasks.md only for cycles already in flight; new cycles need the canonical plan format). Skip for frontend (use ring:running-dev-cycle-frontend) or docs-only work.

Overview

PublisherLerianStudio
Repositoryring
Skill namering:running-dev-cycle
Stars
215
Forks
28
Bundled files
7
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by LerianStudio on GitHub. Read the source before you install it.

Installation

Install the Ring:Running Dev Cycle AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LerianStudio/ring.git /tmp/ring
mkdir -p .claude/skills
cp -r /tmp/ring/dev-team/skills/running-dev-cycle .claude/skills/lerianstudio-ring-running-dev-cycle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ring:Running Dev Cycle in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ring:Running Dev Cycle on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ring:Running Dev Cycle is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Development Cycle Orchestrator

When to use

  • Starting a new development cycle with a phased plan (plan.md from pre-dev or standalone ring:writing-plans)
  • Resuming an interrupted development cycle
  • Need structured, gate-based epic execution with quality checkpoints and phase cadence

Skip when

  • No plan file exists
  • Task is documentation-only or planning-only
  • Frontend project (use ring:running-dev-cycle-frontend instead)

You orchestrate. Agents execute. You NEVER read, write, or edit source code directly.

How This Works

Load the phased plan (plan.md, ring:writing-plans canonical format) and execute the lean backend cycle. The plan is rolling-wave phased: a ## Phase Overview table (phases + milestone + status), phase sections containing ### Epic N.M: headings (each epic carries a **Status:** line: Pending/Doing/Done/Failed), and inline dispatch-ready #### Task N.M.T: blocks written under each epic of the currently-detailed wave. Only the active wave is task-detailed; later phases are epic-level and get elaborated at each phase boundary. Backend implementation owns local runtime and quality so the flow does not dispatch separate QA, SRE, or DevOps gates.

Vocabulary: Phase = independently verifiable checkpoint (internal rolling-wave structure). Epic (Epic N.M) = value-driven increment, the UNIT this cycle iterates. Task (Task N.M.T) = dispatch-ready unit, the Gate 0 execution unit.

Announce at start: "Using ring:running-dev-cycle lean backend flow (rolling-wave phased plan)."

Gate Map

GateSkill to LoadAgent to DispatchCadenceMode
0ring:implementing-tasksring:backend-go / ring:backend-tsPer task (Task N.M.T)Write + Run
8ring:reviewing-code9 default reviewers + triggered specialists in parallelPer epic (Epic N.M)Run
9ring:validating-acceptance-criteriaN/A (verification)Per epicRun
11.5(orchestrator + 1 planning agent)ring:backend-go / ring:backend-ts / ring:frontend / ring:codebase-explorer (ANALYSIS mode)Per phase boundaryPlan only

Gate 0 includes TDD RED/GREEN, coverage threshold enforcement, docker-compose/local runtime updates, basic health/observability verification, and delivery verification. Do not dispatch separate QA, SRE, or DevOps gates as part of this cycle. Step 11.5 (phase cadence) closes the just-finished phase and rolling-wave elaborates the next phase's epics into dispatch-ready tasks — read gates/phase-boundary.md.

Execution Order

yaml
for each phase (current wave; starts at Phase 1, the only detailed phase at init):

  for each epic in this phase (plan order):

    # 1. TASK-LEVEL build (per task Task N.M.T, or epic-itself if no task breakdown)
    for each task:
      Gate 0  # build task
      [checkpoint if manual_per_task mode]

    # 2. EPIC-LEVEL review (once per epic, after all tasks are built)
    Gate 8  # review whole epic — 9 parallel reviewers see cumulative diff

    # 3-4. Fix CRITICAL/HIGH/MEDIUM, then re-review until clean (inside Gate 8)

    # 5. EPIC-LEVEL validation (once per epic, after review passes)
    Gate 9  # validate whole epic — aggregate EVERY task's acceptance criteria + ONE human approval
            # criterion FAIL → back to Gate 0 for that task, then re-review (step 2) → re-validate

    # 6. "Proceed to next epic?" checkpoint (Step 11.1) → next epic in this phase

  # 7. PHASE BOUNDARY (Step 11.5, after the LAST epic of the phase is approved) — read gates/phase-boundary.md
  #    Skill("ring:committing-changes")  ← commit all phase work BEFORE closing the phase
  #    ask user: "Open a PR for this phase?" → if yes: Skill("ring:opening-pull-requests")  ← optional
  #    close phase (Phase Overview → Complete, record deviations) →
  #    phase checkpoint (manual: ask Continue/Pause/Adjust | auto: log + continue) →
  #    elaborate next phase's epics into dispatch-ready tasks (1 planning agent, ANALYSIS mode) →
  #    validate elaboration → resume epic loop at Gate 0 for the new phase
  #    (no next phase → fall through to cycle-end)

# 8. CYCLE-END (once, after the LAST phase completes its boundary) — see "Cycle Completion"; read gates/cycle-completion.md
Final Test Confirmation → Multi-Tenant Verify → Migration Safety (Gate 0.5D, conditional) → dev-report → Final Commit

Gate Execution Workflow

For EVERY gate, follow this exact sequence:

1. Read gate-specific instructions  → Gate 0: Read("gates/gate-0-implementation.md"); Gate 8: Read("gates/gate-8-review.md"); Gate 9: Read("gates/gate-9-validation.md"); Phase boundary (Step 11.5): Read("gates/phase-boundary.md")
2. Load sub-skill                   → Skill("ring:{sub-skill-name}")
3. Follow sub-skill dispatch rules  → Sub-skill tells you HOW to dispatch
4. Dispatch agent                   → Task(subagent_type="ring:{agent}", ...)
5. Validate agent output            → Per sub-skill validation rules
6. Update state                     → Write to current-cycle.json
7. Next gate or checkpoint

Never dispatch an agent without loading the sub-skill first. Never skip from standards → agent directly. Always: standards → sub-skill → agent.

Standards Loading

At cycle start (Step 1.5), pre-cache Ring standards:

  1. WebFetch the standards index for the project language (e.g., golang/index.md)
  2. Store cached standards in state.cached_standards
  3. Pass relevant modules to agents at dispatch time — do NOT re-fetch per gate

Orchestrator Boundaries

You CAN: Read task/state files, write state files, track progress, dispatch agents, ask user questions, WebFetch standards.

You CANNOT: Read/write/edit source code (*.go, *.ts, *.tsx), run tests, analyze code directly, make architectural decisions.

If a task involves source code → dispatch specialist agent. No exceptions regardless of file count or simplicity.

State Management

State lives in docs/ring:running-dev-cycle/current-cycle.json (or docs/ring:planning-backend-refactor/current-cycle.json).

For state schema, persistence rules, and initialization logic, read gates/state-schema.md from this skill directory.

Critical rule: Write state after EVERY gate completion. If state write fails → STOP. Never proceed without persisted state.

PROJECT_RULES.md Check

Before starting any gate execution, verify docs/PROJECT_RULES.md exists.

For the full verification process and template creation flow, read gates/project-rules-check.md from this skill directory.

If PROJECT_RULES.md doesn't exist → create it using the Ring template before proceeding.

Cycle Completion

When the epic loop finishes the LAST phase (last epic of the last phase passed all its gates AND that phase's boundary at Step 11.5 found no next phase to elaborate), the cycle is NOT done — a completion phase runs once.

Read gates/cycle-completion.md from this skill directory and execute Steps 12.0–12.1 in order:

  1. Step 12.0 — Cycle Exit Verification (HARD GATE: every Gate 0 handoff has passing tests, coverage ≥ threshold, local runtime; plus multi-tenant dual-mode verified for all units)
  2. Step 12.0.5b — Gate 0.5D Migration Safety (conditional: runs only when SQL migration files appear in the cycle diff vs origin/main)
  3. Step 12.1 — the one-and-only ring:writing-dev-reports dispatch, then Final Commit (which captures the feedback it generates)

⛔ The cycle is incomplete until Step 12.1 finishes. Do NOT declare the cycle done from the Execution Order summary alone — the detailed, mandatory steps live in gates/cycle-completion.md.

Execution Modes

Ask user at cycle start (independent questions, in the order given at the end of this section):

1. Execution mode (epic/task checkpoint cadence):

ModeBehavior
automaticAll gates execute, pause only on failure
manual_per_epicCheckpoint after each epic completes all gates
manual_per_taskCheckpoint after each task completes task-level gates

2. Phase checkpoint (state.phase_checkpoint):

ValueBehavior
manual (default)At each phase boundary (Step 11.5), AskUserQuestion: Continue / Pause / Adjust plan first
autoAt each phase boundary, log a phase summary and continue (still elaborates the next phase)

Mode and phase_checkpoint affect CHECKPOINTS (user approval pauses), not GATES. All listed gates execute regardless of mode. The phase boundary's elaboration step runs in BOTH phase_checkpoint values — only the pause differs.

3. Commit timing (state.commit_timing ∈ {per_task, per_epic, at_end}): when commits happen during the cycle — see ## Commit Timing for what each value commits at which gate.

Resulting cycle-init question order: execution mode → phase checkpoint → commit timing.

Custom Instructions

If user provides custom context at cycle start, store in state.custom_prompt and inject at the top of every agent dispatch:

**CUSTOM CONTEXT (from user):**
{state.custom_prompt}

---

**Standard Instructions:**
[... agent prompt ...]

Commit Timing

  • Gate 0 (implementation): Commit after GREEN phase, coverage, docker-compose/local runtime, and delivery verification pass (commit_timing == "per_task") via ring:committing-changes
  • Gate 8 (review): Commit fixes after all reviewers pass via ring:committing-changes
  • Gate 9 (validation): No commit (verification only); epic-level commit at Step 11.1 when commit_timing == "per_epic" via ring:committing-changes
  • Phase boundary (Step 11.5): ALWAYS call Skill("ring:committing-changes") to commit all phase work before closing the phase, regardless of commit_timing. After the commit, ask the user: "Open a PR for this phase?" — if yes, call Skill("ring:opening-pull-requests") (optional, never automatic).
  • Cycle-end: Final commit with cycle metadata via ring:committing-changes

commit_timing ∈ {per_task, per_epic, at_end}. Convention: feat|fix|test|chore(scope): description — keep commits atomic per gate.

Blocker Handling

BlockerAction
Gate failure (tests not passing, review failed)STOP. Cannot proceed to next gate.
Missing PROJECT_RULES.mdSTOP. Create using template.
Agent errorSTOP. Diagnose and report.
Architectural decision neededSTOP. Present options to user.

Gate Completion Rules

A gate is complete ONLY when ALL components succeed:

  • Gate 0 (per task): TDD RED + GREEN + coverage ≥ 85% + all acceptance criteria tested + docker-compose/local runtime verified + delivery verification (all requirements delivered, 0 dead code)
  • Gate 8 (per epic): all 9 default reviewers pass, and any triggered conditional specialist also passes.
  • Gate 9 (per epic): every task's acceptance criteria aggregated and marked PASS + explicit "APPROVED" from user
  • Phase boundary (Step 11.5): phase closed (Phase Overview → Complete, deviations recorded) + next phase elaborated and validated (or no next phase) + checkpoint honored per phase_checkpoint

Severity of Issues

  • CRITICAL/HIGH/MEDIUM found in review → Fix NOW, re-run the selected review pool
  • LOW → Keep in the review report if actionable; do not add source comments during review
  • Cosmetic → Add FIXME(nitpick): comment

Error Recovery

ScenarioRecovery
Agent returns errorRetry with clearer instructions (max 3 attempts)
State file corruptedRebuild from git log + last known state
Gate stuck in loopAfter 3 iterations, escalate to user
Context limit reachedUse /ring:creating-handoffs → resume in new session

Input Sources

SourcePath
Plan (pre-dev flow)docs/pre-dev/{feature}/plan.md
Plan (standalone ring:writing-plans)docs/plans/*.md
Legacy tasks (in-flight cycles ONLY)docs/pre-dev/{feature}/tasks.md (old ## Summary table + E-/T- ids) — accepted only when current-cycle.json already exists (init is not re-run); new cycles MUST start from the canonical plan format
Phase tasksinside the plan, under each epic (#### Task N.M.T: blocks)
Refactor tasksdocs/ring:planning-backend-refactor/*/tasks.md

Frontend Handoff

If frontend tasks are detected in a backend cycle → create a handoff file listing frontend requirements, API contracts, and test expectations. Frontend uses ring:running-dev-cycle-frontend separately.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ring:Running Dev Cycle AI skill do?

Running the backend dev cycle: implements every task in a rolling-wave plan.md (ring:writing-plans format) for a Go/TS service, driving specialist agents through Gate 0 implementation/TDD, Gate 8 parallel review, and Gate 9 validation per epic, elaborating later phases at each phase boundary. Use when starting or resuming a gated backend dev cycle with a plan.md (legacy tasks.md only for cycles already in flight; new cycles need the canonical plan format). Skip for frontend (use ring:running-dev-cycle-frontend) or docs-only work.

Why use Ring:Running Dev Cycle on TypingMind?

Because you install it once and use it with any model. Ring:Running Dev Cycle is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ring:Running Dev Cycle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LerianStudio/ring/tree/main/dev-team/skills/running-dev-cycle. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ring:Running Dev Cycle?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ring:Running Dev Cycle?

As many as you like. As long as a model supports skills, you can use Ring:Running Dev Cycle with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ring:Running Dev Cycle AI skill free?

Yes. It is published on GitHub by LerianStudio under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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