- name
SKILL.md
스킬 파일은 게시자의 저장소에 그대로 있습니다.
복사한 명령을 터미널에 붙여넣습니다. 이 SKILL.md가 해당 에이전트에 설치됩니다.
npx skills add refly-ai/refly --skill skill -a cursor -y복사한 명령을 터미널에 붙여넣습니다. 이 SKILL.md가 해당 에이전트에 설치됩니다.
npx skills add refly-ai/refly --skill skill -a claude-code -y복사한 명령을 터미널에 붙여넣습니다. 이 SKILL.md가 해당 에이전트에 설치됩니다.
npx skills add refly-ai/refly --skill skill -a codex -y복사한 명령을 터미널에 붙여넣습니다. 이 SKILL.md가 해당 에이전트에 설치됩니다.
npx skills add refly-ai/refly --skill skill -a grok -y복사한 메시지를 Grok Bot 채팅에 보냅니다. Bot이 GitHub에서 이 SKILL.md를 가져와 모든 Bot이 공유하는 스킬에 추가합니다.
Install this skill: https://github.com/refly-ai/refly/tree/HEAD/packages/cli/skill게시자 제공
refly <command>, never call API directly.ok, payload, error, hint).ok=false, stop and show hint.Tip: Get installationId (skpi-xxx) from refly skill installations.
Recommended: Use --files --latest to get files from the final output without processing all toolcalls.
Choose the execution pattern based on the skill's output type:
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
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 "$CONTENT"
Use for: send-email, slack, microsoft-teams, zoom, calendar, CRM integrations
# Step 1: Run and capture RUN_ID
RESULT=$(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:
Required behavior:
skill run returns RUN_ID (we-xxx) in .payload.workflowExecutions[0].idwe-xxx for all workflow commands (status, detail, toolcalls)~/Desktop/ and open to show user.payload.nodes[].content for text output.payload.status for completion~/.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
User intent -> match domain skill (name/trigger) in ~/.claude/skills/
-> read domain skill SKILL.md -> execute via refly skill run -> return CLI-verified result.
rules/execution.md - Skill execution patterns and error handlingrules/workflow.md - Workflow command referencerules/node.md - Node command referencerules/file.md - File command referencerules/skill.md - Customized Skill command referenceBase 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.
---name: reflydescription: Base skill for Refly ecosystem: creates, discovers, and runs domain-specific skills bound to workflows. Routes…---# packages/cli/skill/SKILL.md개요
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.
FAQ
게시자에게서 packages/cli/skill/SKILL.md를 다운로드하거나 경로를 복사해 저장소를 엽니다. PlugMCP는 스킬을 목록에 올릴 뿐 파일을 호스팅하지 않습니다.
게시자가 https://github.com/refly-ai/refly에서 관리합니다.
Claude, Cursor, Codex, Grok Build는 게시자의 저장소에서 추가한 SKILL.md를 읽을 수 있습니다. Grok Bot은 채팅에서 스킬의 GitHub 폴더 링크를 보내면 설치합니다.