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refly

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npx machina-cli add skill mattmre/EVOKORE-MCP/refly --openclaw
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SKILL.md
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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

# 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

# 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

# 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

Source

git clone https://github.com/mattmre/EVOKORE-MCP/blob/main/SKILLS/DEVELOPER TOOLS/refly/SKILL.mdView on GitHub

Overview

Refly is the base skill in the Refly ecosystem that creates, discovers, and runs domain-specific skills bound to workflows. It routes user intent to matching domain skills via symlinks and delegates execution to the Refly backend. Use it when you need to create skills, run workflows, automate multi-step tasks, or manage pipelines.

How This Skill Works

Refly operates via the CLI and does not call APIs directly. It routes user intent to domain skills by using symlinks that bind skills to workflows, then delegates execution to the Refly backend. The skill relies on CLI-driven commands and trusted JSON responses (ok, payload, error, hint) and requires @refly/cli for authentication.

When to Use It

  • You want to create a new skill in the Refly ecosystem.
  • You need to run a prebuilt workflow from your installed skills.
  • You want to automate a multi-step task that spans multiple domain skills.
  • You are managing pipelines or automations and need orchestration.
  • You want to explore or install available skills from the marketplace.

Quick Start

  1. Step 1: Install and authenticate the Refly CLI and verify connectivity with refly status.
  2. Step 2: List installed skills using refly skill installations and obtain an installationId.
  3. Step 3: Run a skill with a sample input, then monitor progress with refly workflow status and retrieve outputs.

Best Practices

  • Always verify authentication with refly status before running commands.
  • Discover available skills with refly skill list and confirm installations with refly skill installations.
  • Bind domain skills to workflows using symlinks to ensure correct routing.
  • Run skill executions with refly skill run and capture the RUN_ID for monitoring.
  • For final outputs, use refly workflow toolcalls with --files --latest and download as needed.

Example Use Cases

  • Create a new domain skill and bind it to a workflow so it can be triggered by user intent.
  • Install a skill from the marketplace and run it with a sample input to generate output.
  • Automate a multi-step task by chaining skill runs and monitoring progress via workflow status.
  • List installed skills, obtain the installationId, and run the skill with a JSON input.
  • Download the final output files from the last toolcall and open them locally.

Frequently Asked Questions

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