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Refly

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refly-ai
refly

Base skill for Refly ecosystem: creates, discovers, and runs domain-specific skills bound to workflows. Routes user intent to matching domain skills via symlinks, delegates execution to Refly backend. Use when user asks to: create skills, run workflows, automate multi-step tasks, or manage pipelines. Triggers: refly, skill, workflow, run skill, create skill, automation, pipeline. Requires: @refly/cli installed and authenticated.

Overview

Publisherrefly-ai
Repositoryrefly
Skill namerefly
Stars
7.5K
Forks
727
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by refly-ai on GitHub. Read the source before you install it.

Installation

Install the Refly 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/refly-ai/refly.git /tmp/refly
mkdir -p .claude/skills
cp -r /tmp/refly/packages/cli/skill .claude/skills/refly
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refly 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 Refly 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 Refly 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.

Refly

Rules

  1. CLI only - Use refly <command>, never call API directly.
  2. Trust JSON - Only trust CLI JSON (ok, payload, error, hint).
  3. No fabricated IDs - Never invent workflow/run/node IDs.
  4. No tokens - Never print or request auth tokens.
  5. Stop on error - If ok=false, stop and show hint.

Available Commands

CommandID FormatDescription
refly status-Check authentication and connection status
refly login-Authenticate with Refly
refly skill list-List all available skills in the marketplace
refly skill installations-List your installed skills (get installationId here)
refly skill run --id <installationId> --input '<json>'skpi-xxxRun an installed skill, returns runId (we-xxx)
refly workflow status <runId> --watchwe-xxxWatch workflow execution status
refly workflow detail <runId>we-xxxGet workflow run details
refly workflow toolcalls <runId> --files --latestwe-xxxGet files from latest toolcall
refly file download <fileId> -o <path>df-xxxDownload a file

Tip: Get installationId (skpi-xxx) from refly skill installations.

Command Options

CommandOptionDescription
workflow status--watchPoll until workflow completes
workflow status--interval <ms>Polling interval in milliseconds (default: 5000)
workflow toolcalls--filesReturn simplified output with only files and content
workflow toolcalls--latestWith --files, return only files from the most recent toolcall
workflow toolcalls--rawDisable output sanitization (show full tool outputs)

Recommended: Use --files --latest to get files from the final output without processing all toolcalls.

Skill Categories & Execution Patterns

Choose the execution pattern based on the skill's output type:

CategorySkillsOutputPattern
File Generationimage, video, audio skillsFiles (png/mp4/mp3)Run → Wait → Download → Open
Text/Datasearch, research, report skillsText contentRun → Wait → Extract content
Actionemail, messaging, integration skillsStatus confirmationRun → Wait → Confirm

Pattern A: File Generation Skills

Use for: nano-banana-pro, fal-image, fal-video, fal-audio, seedream-image, kling-video, wan-video

bash
# Step 1: Run and capture RUN_ID
RESULT=$(refly skill run --id <installationId> --input '<json>')
RUN_ID=$(echo "$RESULT" | jq -r '.payload.workflowExecutions[0].id')

# Step 2: Wait for completion
refly workflow status "$RUN_ID" --watch --interval 30000

# Step 3: Get files and download to Desktop
FILES=$(refly workflow toolcalls "$RUN_ID" --files --latest | jq -r '.payload.files[]')
echo "$FILES" | jq -c '.' | while read -r file; do
  FILE_ID=$(echo "$file" | jq -r '.fileId')
  FILE_NAME=$(echo "$file" | jq -r '.name')
  if [ -n "$FILE_ID" ] && [ "$FILE_ID" != "null" ]; then
    refly file download "$FILE_ID" -o "$HOME/Desktop/${FILE_NAME}"
    open "$HOME/Desktop/${FILE_NAME}"
  fi
done

Pattern B: Text/Data Skills

Use for: jina, perplexity, weather-report, exa, research skills

bash
# Step 1: Run and capture RUN_ID
RESULT=$(refly skill run --id <installationId> --input '<json>')
RUN_ID=$(echo "$RESULT" | jq -r '.payload.workflowExecutions[0].id')

# Step 2: Wait for completion
refly workflow status "$RUN_ID" --watch --interval 30000

# Step 3: Extract text content from toolcalls
CONTENT=$(refly workflow toolcalls "$RUN_ID" --files --latest | jq -r '.payload.nodes[].content')
echo "$CONTENT"

Pattern C: Action Skills

Use for: send-email, slack, microsoft-teams, zoom, calendar, CRM integrations

bash
# Step 1: Run and capture RUN_ID
RESULT=$(refly skill run --id <installationId> --input '<json>')
RUN_ID=$(echo "$RESULT" | jq -r '.payload.workflowExecutions[0].id')

# Step 2: Wait for completion
refly workflow status "$RUN_ID" --watch --interval 30000

# Step 3: Confirm action status
STATUS=$(refly workflow detail "$RUN_ID" | jq -r '.payload.status')
echo "Action completed with status: $STATUS"

ID Types:

ID FormatExampleUsed For
skpi-xxxskpi-h9kpmts9ho1kl9l1sohaloeuskill run --id only
we-xxxwe-abc123def456workflow status, workflow detail, workflow toolcalls
c-xxxc-g6emwcpi1wpalsz6j4gyi3d9Browser URL only
df-xxxdf-b3yxyelshtwsbxbrkmcqxmx9file download
skpe-xxxskpe-qga5lpyv59yjzz2ghz2iv9bu⚠️ Do NOT use for workflow commands

Required behavior:

  • skill run returns RUN_ID (we-xxx) in .payload.workflowExecutions[0].id
  • Use we-xxx for all workflow commands (status, detail, toolcalls)
  • Choose execution pattern (A/B/C) based on skill category
  • File skills: Download to ~/Desktop/ and open to show user
  • Text skills: Extract .payload.nodes[].content for text output
  • Action skills: Confirm .payload.status for completion

Directory Structure

~/.refly/skills/
├── base/                       # Base skill files (this symlink target)
│   ├── SKILL.md
│   └── rules/
│       ├── execution.md
│       ├── workflow.md
│       ├── node.md
│       ├── file.md
│       └── skill.md
└── <skill-name>/               # Domain skill directories
    └── SKILL.md

~/.claude/skills/
├── refly → ~/.refly/skills/base/           # Base skill symlink
└── <skill-name> → ~/.refly/skills/<name>/  # Domain skill symlinks

Routing

User intent -> match domain skill (name/trigger) in ~/.claude/skills/ -> read domain skill SKILL.md -> execute via refly skill run -> return CLI-verified result.

References

  • rules/execution.md - Skill execution patterns and error handling
  • rules/workflow.md - Workflow command reference
  • rules/node.md - Node command reference
  • rules/file.md - File command reference
  • rules/skill.md - Customized Skill command reference

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 Refly AI skill do?

Base skill for Refly ecosystem: creates, discovers, and runs domain-specific skills bound to workflows. Routes user intent to matching domain skills via symlinks, delegates execution to Refly backend. Use when user asks to: create skills, run workflows, automate multi-step tasks, or manage pipelines. Triggers: refly, skill, workflow, run skill, create skill, automation, pipeline. Requires: @refly/cli installed and authenticated.

Why use Refly on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/refly-ai/refly/tree/main/packages/cli/skill. 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 Refly?

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 Refly?

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

Is the Refly AI skill free?

It is published on GitHub by refly-ai. 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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