Lockedin Render Ideas (Grade A) logo

Lockedin Render Ideas (Grade A)安全测试的数据-AI技能,专为Claude AI设计。A级。通过用户的经验提出3至5项下一个项目或职业转变的想法,并附带每个想法的引用实体。

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Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Lockedin Render Ideas(Grade A)是一款经过安全性测试的 Claude AI 数据‑AI 技能,可根据用户的经验提出 3 到 5 条下一步项目或职业发展创意。它通过两轮写手/审稿人交互和五维评估标准,提供每条创意的单段式推介,并附带引用实体。 当用户询问下一步该做什么、侧项目创意或职业转型的点子时,该技能会被激活。它旨在发掘用户现有技能和领域的创新组合,并基于用户的真实经验提供职业发展的建议。 render-ideas skill 已校准,并随附一套基于研究的资源,包括包含27条条目的 banned_phrases.json 文件和包含7个引用来源的 research-notes.md 文件。该 skill 使用两轮模式,作者轮次提出3到5个创意,审稿人轮次重新加载 fresh 的 RUBRIC.md 并在五个维度上对该集合进行评分。 该技能的输出形式为3至5个创意,每个创意为一段文字,先是一句简短的概述(pitch),随后是两到三句阐释理由,并引用 vault 实体。此技能旨在用户想要探索新想法或职业转变时使用,但不适用于生成简历、求职信或面试回答等渲染需求。 Render‑ideas 技能是 LockedIn 项目的一部分,该项目旨在提供一套用于 AI 驱动的创意生成和职业发展 的技能和工具。该技能基于来自 Atlassian、Inc.、FasterCapital 和 arXiv 等来源的跨渠道公开研究,旨在提供高质量、基于证据的创意和职业建议。

主要功能

  • 提议3至5项想法
  • 每个想法以引用实体附带的段落介绍
  • 具有双向写作/审核机制,5维评分标准
  • 基于研究数据的校准
  • 提案的想法结合用户的现有技能和领域

价格

模型
Free
评分
暂无评价

使用场景

职业转变建议

用户要求基于其实际经验的职业转变建议,Lockedin Render Ideas提供3至5个引用实体的段落介绍

下个项目的想法

用户要求下个项目建议,Lockedin Render Ideas提出3至5项新颖的现有技能和领域的组合

优点 & 缺点

优点

  • 提供新颖的现有技能和领域的组合
  • 以用户实际的经验为基础
  • 每个想法都附带相关实体的引用

缺点

  • 仅适用于特定提示,例如"我该做什么"" 或 "副业想法)
  • 需要先通过/lockedin init或接入程序以空灵储存

评测

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问答

How it works?

1. Your experience gets structured. Drop a resume, answer a few short interview questions, or capture a moment from your current work. LockedIn organizes it into 15 typed markdown files in ~/Documents/LockedIn/. 2. Every claim is bound to a real entity. The writer turn cites companies, projects, and metrics as [[type/slug]] references pointing at specific vault files. Slugs are swapped for natural language right before you see the output. If no matching entity backs a claim, the slug stays in place and LockedIn asks you whether to add the entity rather than fabricating one. 3. Two Claudes grade. Once the writer turn finishes, a separate reviewer turn reads RUBRIC.md fresh from disk and scores. Each artifact has its own 5 dimensions (for the English resume: metric density, action verb quality, structure, banned phrases, persona fit). You get a JSON alongside the markdown with per-dimension scores 0–5, a total, cited-entity recall, and any banned-phrase hits. If any dimension lands below 4, LockedIn auto-refines once before you see the result. 4. Your experience and your conversation stay in sync. If you edited a markdown file by hand, or said something in chat that conflicts with what's already there, LockedIn notices first and asks one focused question to reconcile. This is possible because your experience is stored as typed entities, not free-form text.

Asked by Zeynep Aydin · Sep 12, 2025

Why it exists?

Most tools for organizing experience want you to leave your work, log in somewhere else, and remember everything that mattered. By then, half of it is already gone from your head. Other tools sit outside your work. LockedIn sits inside it. The moment you merge a line of code, lock in a meeting decision, or settle on a new design choice gets saved as structured experience. The flow doesn't break. Once saved, your experience connects to your outputs. Six months later when you need a resume, the six months of real work is right there, stacked as markdown in your filesystem, not in someone else's database. Carry it to any tool, reuse it for any artifact.

Asked by Jana Krejčí · Jul 25, 2025

How you use it?

No commands to memorize, no extra tab to open. Just start naturally inside Claude Code. To start fresh, build your experience from zero: "start organizing my experience", "interview me about my work history", "absorb my resume.pdf". While you're working, capture moments as they happen: "save this commit as a project highlight", "this meeting just wrapped, log it", "I just learned how to use X, track it". When you need to produce something: "make me an English resume", "I'm applying to company X for role Y, write the answer to question Z", "audit this resume PDF". LockedIn asks one question at a time when it needs more from you, and it stops when it has enough.

Asked by Winifred Adeyemi · Jul 3, 2025

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