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Effective Interact

Community
JasonxzWen
effective-interact

Load when agent pauses to report relatively complex information needing Chinese-first clear complex communication, alignment, multi-option choice, status/incident, long-task fact ledgers, implementation plans, reviews, maps, explainers, evidence, risks, validation, handoff; choose plain text/Markdown/visual Markdown/HTML by decision cost; do not load merely because answer is long; skip trivial chat/bundled apps.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill nameeffective-interact
Stars
71
Forks
0
Bundled files
27
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.

  • 27 bundled files

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

  • Open source

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

Installation

Install the Effective Interact 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/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/effective-interact .claude/skills/effective-interact
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Effective Interact 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 Effective Interact 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 Effective Interact 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.

Effective Interact

When loaded, think in visual language first; map/table/timeline/flow/evidence shapes reduce interaction time and information loss. HTML is an escalation path, never a reward for task size or importance. Make activation observable: conclusion, structure, evidence/risk/validation/next action, no generic linear prose. Adapt ThariqS/html-effectiveness as pattern families, not templates to copy.

Read DESIGN.md before composing an HTML artifact, then relevant split references: references/report-ia.md, references/visual-language.md, references/component-contracts.md, and references/generator-validation-contract.md. Components and information architecture come first; old template inputs are not supported.

Default Load And Communication Gate

Default: the native Host main Agent loads this skill whenever it is about to pause and report relatively complex information if structure lowers cost. This skill does not decide substantive scope. Do not load merely because the answer may exceed roughly 200 Chinese characters; 200 Chinese characters and 3 or more independent points are auxiliary signals. The primary trigger is the user decision need. Run communication-worthiness check and visual-language check.

Use only when linear reply raises decision cost: material repo/skill implementation or validation facts need evidence; 2 or more comparable options have tradeoffs; flow, state, timeline, map, call path, or architecture needs spatial structure; repo/module/skill explainers need capability; user must choose, tune, sort, filter, copy, export, or inspect source anchors, code, diff, citations, evidence, or validation; or plain text would hide the main point.

If no strong signal and no handoff obligation is present, answer in chat or Markdown. Length is never sufficient by itself; long routine answers, translations, simple explanations, summaries, and one-command status stay outside.

Use this skill before, during, or after implementation for planning options, PR writeups, status or incident dashboards, prompt/config tuners, material-change reports, and handoffs; it is for interaction points, not only final handoffs. The user does not need to say "HTML". Material changes still default to the lightest mode that keeps conclusion, evidence, validation, risks, and next action clear.

Output Mode Ladder

Use the lightest mode that lowers decision cost:

  1. plain-brief: chat for one decision, Top 3 support, and next action.
  2. structured-markdown: headings, bullets, compact tables, labels.
  3. visual-markdown: Mermaid, tables, commands, file anchors, or decision matrices.
  4. html-artifact: one static HTML file for browser navigation, visualization, filtering, copy/export, or local interaction.

Density gate: direct answer, evidence, or compact visual before HTML. Unless you intentionally choose plain-brief, include at least one visible visual structure in output. HTML only when browser navigation, visualization, or local interaction lowers decision cost; never because the topic is important, long, or validator-backed.

Mode Selection Hard Rules

Do not load for a long but routine answer.

  • Use plain-brief for one conclusion, Top 3 support, and one next action.
  • Use structured-markdown for grouped evidence, risks, status, options, or compact tables.
  • Use visual-markdown when one Mermaid diagram, decision matrix, command block, or short source-anchor list is enough.
  • Use html-artifact only when a hard HTML condition is true: more than 5 source anchors need local navigation; user must filter, sort, compare, copy, or export; architecture, dependency, milestone, module, repo capability/function/implementation map, or skill structure is too wide for one Mermaid diagram; visual style, component variant, design-system, illustration, prototype, or multi-option approval needs a browsable gallery; or status/incident/editor surface needs drilldown or visible export.
  • Any mode other than plain-brief must show at least one visible visual structure before handoff.

HTML escalation is forbidden when one compact Markdown table, one Mermaid diagram, or one short file list is enough, including material repo or skill handoffs.

Trigger Examples

Use for source-derived families: Exploration & Planning; Code Review & Understanding; Design, Reports, and Custom Editors. Examples: approach comparison, code understanding map, design-system reference, component variant matrix, feature-flag editor.

Use for: 复杂状态汇报; complex status reports; long-task fact ledger; changed skill/repo behavior with HTML handoff and validation gates; repo capability/structure/function/implementation explainers; "Show the options so I can choose before you implement"; implementation plan with milestones; OpenSpec apply; PR review; HTML architecture walkthrough; side-by-side option gallery; design-system reference; component variant matrix; incident timeline; temporary triage, feature-flag, or prompt editor that exports Markdown, JSON, or diff.

Also use for invisible-layer complaints: "effective-interact did not trigger", "no proactive HTML report", "same with or without the skill", or "make the handoff more polished and structured".

Do not use this skill for: approval gates such as pushing/installing; doing code implementation, bug fixes, or test runs; coding minimization; one-command status, or a long but routine explanation; product UI; bundled artifacts; slide decks; use frontend-slides. Use ponytail for minimal coding.

First-Principles Communication Contract

Before choosing output shape, identify Reader need, Decision frame, first principles, and Evidence boundary. Rebuild from goal, audience, constraints, facts, inferences, assumptions, tradeoffs, and next action; trace claims to source.

All modes start with BLUF; SCQA/PREP may shape reasoning, but the first visible sentence answers directly.

Output Contract

Start with the direct answer. Keep Top 3 distinct support. Mark important claims as 事实 / 推断 / 假设 (fact / inference / assumption). Explain tradeoffs, recommendation, rejected path, and CTA/next action. Treat validator warnings as advisory. If the skill is loaded and the answer is not plain-brief, show visual structure instead of linear paragraphs.

Handoff obligation exists only when changed behavior, evidence, risk, or continuation matters.

HTML Artifact Contract

Use only for html-artifact mode. Write one static UTF-8 Chinese .html, defaulting to skills/effective-interact/artifacts/; no build step. Default to self-contained pre-rendered output with inlineable HTML/CSS and vanilla JS. Use runtime-cdn only when dynamic Markdown/Mermaid/code rendering materially lowers decision cost and --require-browser validation is available.

HTML handoff must be visualized with a table, map, timeline, flow, evidence layout, or comparison surface. Avoid Markdown-in-HTML handoffs and decorative visuals. For code evidence, include source file link, line number, smallest useful snippet, and diff when before/after matters. Mermaid must render to SVG before handoff. Editors: no network/repo writes, credentials, hidden persistence. Use grouped navigation with a return-to-overview path. 不要外显 Source fallback.

Long Task Fact Ledger

For long drifting work, keep JSONL at skills/effective-interact/artifacts/session-ledgers/<task-slug>.jsonl; record tool-result summaries, verification, blockers, and next actions. Never record secrets or raw large logs.

Generator First Workflow

For html-artifact mode: read DESIGN.md and the relevant split references, choose only the needed components, then write UTF-8 JSON for references/interaction-input-schema.json; run scripts/create-interaction.mjs --input <input.json> --slug <name> --json; omit --out-dir unless the destination is gitignored; validate outputPath with scripts/validate-interaction.mjs <outputPath> --json --require-browser; serve with scripts/serve-artifact.mjs when a URL helps.

Failure Lessons

  • Use UTF-8 for Chinese input/output; repeated question marks or mojibake usually come from shell/codepage problems. Treat consecutive question-mark corruption as 连续问号乱码.
  • Sanitize Mermaid, browser, and validator diagnostics; do not expose local paths, file:///, tokens, or raw HTML/script in published artifacts.

Verification

Before HTML handoff, run scripts/validate-interaction.mjs; report degradation. Read DESIGN.md, references/report-ia.md, references/visual-language.md, references/component-contracts.md, references/generator-validation-contract.md, references/interaction-patterns.md, references/html-effectiveness-patterns.md, references/html-aesthetic-preflight.md, ledger schema, and eval cases before changing trigger/HTML rules.

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 Effective Interact AI skill do?

Load when agent pauses to report relatively complex information needing Chinese-first clear complex communication, alignment, multi-option choice, status/incident, long-task fact ledgers, implementation plans, reviews, maps, explainers, evidence, risks, validation, handoff; choose plain text/Markdown/visual Markdown/HTML by decision cost; do not load merely because answer is long; skip trivial chat/bundled apps.

Why use Effective Interact on TypingMind?

Because you install it once and use it with any model. Effective Interact 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 Effective Interact in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/effective-interact. 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 Effective Interact?

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 Effective Interact?

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

Is the Effective Interact AI skill free?

It is published on GitHub by JasonxzWen. Check the repository for licensing terms. 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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