Common Task Complexity Routing logo

Common Task Complexity Routing

Community
HoangNguyen0403
common-task-complexity-routing

Scores a coding task on Spread, Novelty, and Centrality (SNC 0-6) and maps the tier to autonomy, verification depth, review mode, reviewers, model tier. Use when sizing a fix or feature before planning, choosing fast vs deep review, or deciding whether HARD STOP approval is required.

Overview

PublisherHoangNguyen0403
Repositoryagent-skills-standard
Skill namecommon-task-complexity-routing
Stars
573
Forks
166
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by HoangNguyen0403 on GitHub. Read the source before you install it.

Installation

Install the Common Task Complexity Routing 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.
    https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/common/common-task-complexity-routing
  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/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/.agents/skills/common/common-task-complexity-routing .claude/skills/common-task-complexity-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Common Task Complexity Routing 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 Common Task Complexity Routing 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 Common Task Complexity Routing 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.

Task Complexity Routing (SNC)

Priority: P1 (HIGH)

Same ticket label, different engineering difficulty. Score the task, not the label, then route by tier.

Score

Dimension012
Spread (how far the change reaches)one file, one moduleseveral files, one modulecross-module or cross-service
Novelty (new vs existing behavior)small edit or removal of existing behaviormodify existing logicnew behavior or rewrite
Centrality (how core the touched code is)peripheral codeshared but non-corecore domain, hot path, auth, money, trust boundary

Sum the three, never average. Output line: SNC: S=[0-2] N=[0-2] C=[0-2] total=[n] tier=[low|medium|high].

Tiers

  • tier=low: total 0-2
  • tier=medium: total 3-4
  • tier=high: total 5-6

Routing

TierAutonomyVerificationReviewApprovalmodel_tier
tier=lowautonomousbasic: focused tests + lintfast code-reviewnone requiredfast
tier=mediumguidedTDD + self-reviewdeep code-reviewplan reviewed, no HARD STOPstandard
tier=highplan-firstTDD + independent reviewers (specialist-architecture-guard, specialist-security-reviewer when relevant)deep code-reviewHARD STOP before code, human approval before mergestrong

Sensitive-Change Risk Floor

Sensitive changes touching authentication, authorization, payments/financial data, data integrity, secrets, or system trust boundaries have an explicit risk floor independent of arithmetic SNC totals:

  • Floor: Minimum tier=medium (guided execution, deep review, human plan acknowledgment) even if arithmetic total is ≤2 (e.g. S=0, N=0, C=2).
  • High Sensitivity: If spread or novelty is non-zero (S≥1 or N≥1 with C=2), enforce tier=high (plan-first HARD STOP, independent security review, human merge approval).
  • Irreversible Actions: Actions involving data destruction, schema drops, credential rotation, privilege escalation, or production cutover strictly require explicit human authorization regardless of tier.

Rules

  • Score before planning; emit snc_tier and model_tier in every Handoff Payload.
  • Label the score as inference when derived from ticket text alone; re-score after specialist-codebase-scout reports impact radius.
  • Round up on doubt. Any auth, money, trust-boundary, or hot-path touch is C=2 and subject to the sensitive-change risk floor.
  • Downward complexity reassessment is permitted ONLY with documented new evidence (e.g., scouted blast radius proves isolated scope with verified non-interference), NEVER to bypass unresolved risk, required approvals, or the sensitive-change risk floor.
  • Re-score when scope grows mid-task; the tier must rise immediately when expansion is detected.
  • Never downgrade a tier to skip a gate. Ticket type (bug vs feature) never sets the tier.

Red Flags

Stop and re-score when hearing or thinking: "it's just a bug fix", "one-line change", "skip the plan, it's small", "we'll review it later", "mark it low so we can merge tonight". Each is a rationalization, not a score.

Anti-Patterns

  • No tier by ticket type: "bug" and "feature" say nothing about S, N, or C.
  • No averaging: three 1s and one 2/0/1 both route differently only when summed.
  • No silent tier: a plan or handoff without snc_tier is incomplete.
  • No high tier without named reviewers: tier=high must list which specialists review before merge.

References

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 Common Task Complexity Routing AI skill do?

Scores a coding task on Spread, Novelty, and Centrality (SNC 0-6) and maps the tier to autonomy, verification depth, review mode, reviewers, model tier. Use when sizing a fix or feature before planning, choosing fast vs deep review, or deciding whether HARD STOP approval is required.

Why use Common Task Complexity Routing on TypingMind?

Because you install it once and use it with any model. Common Task Complexity Routing 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 Common Task Complexity Routing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/common/common-task-complexity-routing. 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 Common Task Complexity Routing?

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 Common Task Complexity Routing?

As many as you like. As long as a model supports skills, you can use Common Task Complexity Routing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Common Task Complexity Routing AI skill free?

Yes. It is published on GitHub by HoangNguyen0403 under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇