Lockedin Render Ideas (Grade A) logo

Lockedin Render Ideas (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Proposes 3 to 5 next-project or career-move ideas grounded in the user's experience. One-paragraph pitch each, with cited entities. Two-turn write

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Lockedin Render Ideas (Grade A) is a security-tested data-ai skill for Claude AI that proposes 3 to 5 next-project or career-move ideas grounded in the user's experience. It provides one-paragraph pitches, each with cited entities, based on a two-turn writer/reviewer process and a 5-dimension rubric. The skill is activated when the user asks for ideas on what to work on next, side project ideas, or career pivot ideas. It is designed to surface novel combinations of the user's existing skills and domains, and to provide career-move pitches grounded in their actual experience. The render-ideas skill is calibrated and ships with a set of research-based resources, including a banned_phrases.json file with 27 entries and a research-notes.md file with 7 cited sources. The skill uses a two-turn pattern, with the writer turn surfacing 3 to 5 ideas and the reviewer turn re-loading the RUBRIC.md fresh and scoring the set on five dimensions. The output shape of the skill is 3 to 5 ideas, each one paragraph long, with a one-sentence pitch followed by two to three sentences of rationale that cite vault entities. The skill is designed to be used when the user wants to explore new ideas or career moves, but not when they want a resume or cover letter render, or an interview answer render. The render-ideas skill is part of the LockedIn project, which aims to provide a set of skills and tools for AI-powered idea generation and career development. The skill is grounded in cross-source public research from sources such as Atlassian, Inc., FasterCapital, and arXiv, and is designed to provide high-quality, evidence-based ideas and career advice.

Key features

  • Proposes 3 to 5 ideas
  • One-paragraph pitches with cited entities
  • Two-turn writer/reviewer with a 5-dimension rubric
  • Research-based calibration

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Career Move Suggestions

A user asks for career-move pitches grounded in their actual experience, and Lockedin Render Ideas provides 3 to 5 one-paragraph pitches with cited entities.

Next Project Ideas

A user asks for suggestions on their next project, and Lockedin Render Ideas proposes 3 to 5 novel combinations of their existing skills and domains.

Pros & Cons

Pros

  • Provides novel combinations of existing skills and domains
  • Grounded in user's actual experience
  • Cites relevant entities for each idea

Cons

  • Limited to specific prompts, such as 'what should I work on next' or 'side project ideas'
  • Requires a sparse vault to be seeded first via /lockedin init or ingestion

Reviews

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Q&A

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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