MCPInstall

experience_loader

Load relevant OpenViking experience memories via case-linked experience candidates before solving a task.

Installs
59
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/volcengine/openviking --skill experience_loader
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads experience_loader automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

experience_loader

Use this skill before taking task actions when reusable execution experience may help.

Required workflow

  1. Before taking task actions, call search_experience with a natural-language query that describes the current task.
  2. Build the query from the current domain, user intent, target object, requested operation, policy keywords, and likely tool/action family. Avoid vague queries such as "help user".
  3. Review the returned candidates. Each candidate is a matched case plus linked experience entries; each experience entry includes its name, uri, and a short situation snippet describing its applicability and exclusions.
  4. Gate before reading. For each linked experience, read its situation snippet and check whether the current task matches the experience's applicability AND does NOT match any of its exclusions / "不适用于" / "does not apply to" items. Skip experiences whose situation explicitly excludes your case (e.g. wrong cabin class, flights already flown, different action family, or different change type). Only call read_experience on experiences that plausibly apply after this check. If no experience passes the gate, continue without experience guidance.
  5. You may call search_experience multiple times with refined keywords, and you may call read_experience multiple times for the experiences that pass the gate.
  6. Treat loaded experiences as reusable guidance, not as current-task truth. Current policy, current tool results, and current user facts override prior experience.
  7. Re-verify after reading. Even after read_experience, before acting on the experience, check its full ## Situation against current facts you have obtained from tools (cabin class, reservation status, flight dates, segment state, etc.). If any "不适用于" / exclusion condition matches the current task now that you have concrete facts, DISCARD the experience and proceed from policy and tool results instead — do NOT apply its Approach or Reflect.
  8. Multi-intent tasks (e.g. "cancel, then book", "upgrade then change flight", "refuse a modification then offer a fallback") may legitimately require more than one experience; gate and apply each segment's experience independently. Do not end the task (done / transfer_to_human_agents) just because one segment's experience reaches a local return marker — check whether the user has a remaining intent.
  9. If no linked experience is plausibly relevant after gating, continue without experience guidance.

Local return markers in loaded experiences

Experience return markers are local to the covered intent/subtask. They are not whole-task success/failure labels and are not automatic permission to call done.

  • RETURN_COMPLETED: the specific intent/subtask covered by this experience has been completed, usually after the required business read/write tool calls and required customer communication. If the user has another independent intent, continue with that next intent instead of ending the conversation.
  • RETURN_BLOCKED(reason="..."): the covered intent/subtask cannot proceed under the current facts, policy, missing input, refusal boundary, or escalation boundary. Perform any required communication/escalation from the experience, then continue other remaining user intents if they are still actionable.
  • RETURN_NOT_APPLICABLE: the experience does not match the current facts; discard it and use another applicable experience or current policy/tool facts.

Refusal, no-option, policy-ineligible, missing-input, and transfer_to_human_agents branches should be interpreted as RETURN_BLOCKED(...) for that local intent, not as whole-task completion. Before ending globally, verify that every user intent is completed, blocked, not applicable, or explicitly transferred/stopped by the user/environment.

Tools

  • search_experience(query, limit=10): searches OpenViking memories/cases under the current user, reads each matched case's ## Linked Experiences section, and returns JSON candidates with case score, case URI, task signature, input summary, and linked experience entries (each with name, uri, and a situation snippet from the experience's ## Situation section).
  • read_experience(experience_uri): reads one OpenViking experience memory by full URI and returns Markdown.

FAQ

What does the experience_loader skill do?

Load relevant OpenViking experience memories via case-linked experience candidates before solving a task.

How do I install experience_loader?

Run npx skills add https://github.com/volcengine/openviking --skill experience_loader in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/experience_loader/ (personal) or .claude/skills/experience_loader/ (project).

Which AI agents can use experience_loader?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is experience_loader safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains experience_loader?

It is published by volcengine in volcengine/openviking. It has 59 recorded installs.

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