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Community ops router

Skill ShiroRyu9/community-ops-kit/skills/community-ops-router

AI-ready community operations SOPs with safe automation, human approval, and verified execution.

Install
npx -y skills add ShiroRyu9/community-ops-kit --skill community-ops-router

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 15 days oldThe repository was created 15 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when diagnosing, designing, coordinating, operationalizing, or reviewing an end-to-end community operations system; when a request spans onboarding, activities, creators, paid members, reports, automation, support risk, operator writing, SOPs, or AI/bot/operator handoffs; or when the correct specialist community-ops skill is unclear. Produces a routed workflow with user segment, friction, next action, surface, evidence, execution status, feedback loop, review rhythm, and approval boundaries.

SKILL.md

7.2 KB, as published. Nobody here has run it

Community Ops Router

Use this skill as the entry point for cross-functional community operations work.

Project Inputs

The kit supplies reusable judgment patterns, workflows, output structures, and safety boundaries. It does not supply a community's names, platform setup, channels, roles, activity rules, rewards, member benefits, policies, user records, credentials, or bot configuration.

Collect only the project inputs needed for the current task. Treat repository examples as demonstrations, never as defaults. If a necessary value is missing, continue with confirmed facts where useful and label the value data gap, [owner to confirm], or a question. Ask only when the missing value blocks a safe or valid result. Never request or preserve passwords, tokens, webhook URLs, full private messages, payment details, or unnecessary personal data.

Operating Model

community goal
-> user segment
-> current friction
-> next user action
-> surface
-> proof/evidence
-> feedback, support, recognition, or reward
-> review and next decision

Start with the user path and operating evidence. Do not begin with channel decoration, generic engagement tactics, or a long list of content ideas.

Read operating-principles.md when the request contains messy records, competing priorities, several possible interventions, or a need to explain why an action was chosen. Apply its evidence, minimum-change, surface-role, automation-boundary, and review rules before routing specialist work.

First Move

Classify the request:

  1. Diagnose: find the main break in the community lifecycle.
  2. Design: build an operating loop, user path, or coordinated plan.
  3. Route: send a concrete task to the smallest specialist skill.
  4. Operationalize: turn a decision into a reusable SOP with ownership, handoffs, status, verification, and writeback.
  5. Review: combine evidence, risks, decisions, and next actions across skills.

For multi-step work, define a lean task contract: goal, relevant context, hard constraints, required evidence, success criteria, output format, approval boundary, and stop/question conditions. See task-contract.md.

When another operator, AI agent, bot, scheduler, or integration will carry out the action, use sop-contract.md. The task contract defines the assignment; the SOP contract defines repeatable execution and proof.

Skill Routing

  • activity, campaign, challenge, submissions, voting, rewards, reminders, or results -> community-ops-activity;
  • onboarding, welcome, routing, first action, activation, or early retention -> community-ops-onboarding;
  • creators, contributors, UGC, showcases, tutorials, cases, attribution, or reusable content -> community-ops-creator-assets;
  • paid, premium, VIP, high-value, benefits, renewal, entitlement, or priority support -> community-ops-paid-members;
  • daily work log or daily recap -> community-ops-daily-report;
  • weekly metrics, retrospective, decisions, or next-week priorities -> community-ops-weekly-review;
  • support, moderation, privacy, payment, access, permissions, rewards disputes, bots, or official claims -> community-ops-support-risk;
  • recurring collection, drafting, reminders, reports, checks, handoffs, or audit trails -> community-ops-automation-workflow;
  • announcements, reports, articles, stakeholder writing, or natural operator voice -> community-ops-expression.

If several areas are involved, keep this router as the synthesis layer and use specialist skills only for their part of the work.

Workflow

1. Establish The Operating Context

Identify:

  • community type and goal;
  • target user segment;
  • lifecycle stage;
  • available surfaces and tools;
  • confirmed evidence and data gaps;
  • public, financial, permission, safety, or privacy boundaries.

Do not require the user to complete every possible project field before starting. Gather the smallest relevant input set, then expand it only when the routed task needs more detail.

Separate the input into four buckets before drawing conclusions:

  • confirmed facts;
  • working assumptions;
  • data gaps;
  • actions waiting for approval.

Use community-patterns.md for transferable hypotheses when project evidence is limited. These patterns may suggest questions or options; they must not fill project-specific fields.

2. Find The Main Friction

Map the lifecycle:

discovery -> entry -> first action -> repeat participation -> contribution -> recognition -> retention/upgrade -> review

Choose the smallest useful intervention. Name where it happens and what proof shows whether it worked.

3. Route And Produce

For each routed task, require:

trigger -> input -> operator judgment -> output -> evidence -> review rule

Keep confirmed actions, drafts, assumptions, and missing data separate.

4. Operationalize The Handoff

For repeated or delegated work, define:

  • trigger and decision owner;
  • required inputs and durable evidence source;
  • operator, AI, automation, and platform-adapter roles;
  • current state and allowed state transitions;
  • approval scope and stop conditions;
  • execution receipt, verification, and writeback destination.

Use these normal states:

observed -> scoped -> prepared -> pending approval -> approved
-> executed -> verified -> recorded -> reviewed

Use blocked, data gap, ambiguous, or cancelled when the normal path stops. Never report prepared, approved, or executed but unverified as completed.

5. Close The Loop

Every plan should specify:

  • one next user action;
  • feedback, support, recognition, reward, or follow-up;
  • evidence collected;
  • review timing;
  • decision owner;
  • what changes after the review.

Approval Boundary

The agent may read, organize, compare, calculate, draft, and prepare checklists when allowed. Require explicit confirmation before public posts, DMs, user mentions, rewards, discounts, paid-benefit promises, role or permission changes, bot or webhook changes, winner lists, deletions, or official claims.

Output Pattern

**Diagnosis**
[The main operating friction and affected segment.]

**Target Loop**
entry -> action -> proof -> feedback/support -> next action -> review

**Routed Actions**
| Priority | Specialist skill | Action | Surface | Evidence | Owner gate |
|---|---|---|---|---|---|

**Data Gaps**
- ...

**Success Criteria**
- ...

**Next Review**
- Timing: ...
- Decision: ...

Quality Bar

Reject plans that rely only on message volume, vague engagement goals, or unsupported growth claims. Prefer concrete actions, visible evidence, clear ownership, and a repeatable review loop.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.