
Lockedin Capture (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Converts in-session capture intents ("save this", "log this", "track this", "absorb this") into structured vault entries via a two-turn writer/rev
Overview
Key features
- Two-turn writer/reviewer pattern
- Duplicate detection and reconciliation
- Entity type and field proposal
- Edge structure proposal
- Schema conformance checking
- Required field checking
Pricing
- Model
- Free
- Category
- Skills
- Rating
- No reviews yet
Use cases
Capturing meeting notes
The user describes a meeting they just attended and wants to capture the notes in their vault.
Saving a decision
The user wants to capture a decision they just made and save it to their vault.
Tracking a project milestone
The user wants to capture a project milestone they just completed and track it in their vault.
Pros & Cons
Pros
- Promotes capture from an implicit sub-role to a first-class calibrated flow
- Ensures high-quality captures through a rigorous writer/reviewer contract
- Detects and reconciles duplicate entries
Cons
- May not be suitable for users who are not familiar with the two-turn writer/reviewer pattern
- Requires explicit capture intent from the user to activate
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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. There is no opening for a new fact to slip in. 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. The AI compares only the changed fields instead of re-reading everything. Sy
Asked by Yelena Popova · Nov 5, 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 Mateusz Wozniak · Oct 11, 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 Celia Ramirez · Sep 27, 2025
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