Browse Skills

password-recovery.md

13

1 export password-recovery

2 from "letta-ai/skills"

3 This skill provides guidance for recovering passwords or sensitive data from disk images, corrupted files, or forensic scenarios. Use this skill when tasked with extracting passwords from disk images, recovering deleted files containing credentials, or performing data forensics to find lost authentication information.

2026-01-21

ticket-create.md

13

1 export ticket-create

2 from "malhashemi/dotfiles"

3 Guides creation of well-structured tickets (task documents). This skill should be used when the user wants to create a ticket, task, feature request, bug report, or any work item that needs to be tracked and potentially assigned. Provides structure hints without enforcing rigid templates - the final structure adapts to the specific task and domain.

2026-01-05

git-multibranch.md

13

1 export git-multibranch

2 from "letta-ai/skills"

3 Guidance for setting up Git-based multi-branch deployment systems with SSH access, web servers, and automated deployment hooks. This skill should be used when configuring Git repositories that deploy to multiple environments (e.g., main/dev branches), setting up SSH authentication for Git, configuring web servers to serve content from different branches, or creating post-receive hooks for automated deployments.

2026-01-21

count-dataset-tokens.md

13

1 export count-dataset-tokens

2 from "letta-ai/skills"

3 Guidance for counting tokens in datasets, particularly from HuggingFace or similar sources. This skill should be used when tasks involve counting tokens in datasets, understanding dataset schemas, filtering by categories/domains, or working with tokenizers. It helps avoid common pitfalls like incomplete field identification and ambiguous terminology interpretation.

2026-01-21

reshard-c4-data.md

13

1 export reshard-c4-data

2 from "letta-ai/skills"

3 Guide for implementing reversible data resharding systems with hierarchical constraints (max files/folders per directory, max file size). Use when building compress/decompress scripts that reorganize datasets while maintaining full reconstruction capability.

2026-01-21

modernize-scientific-stack.md

13

1 export modernize-scientific-stack

2 from "letta-ai/skills"

3 Guidance for modernizing legacy Python 2 scientific computing code to Python 3. This skill should be used when tasks involve converting outdated scientific Python scripts (using deprecated libraries like ConfigParser, cPickle, urllib2, or Python 2 syntax) to modern Python 3 equivalents with contemporary scientific stack (NumPy, pandas, scipy, matplotlib). Applies to data processing, analysis pipelines, and scientific computation modernization tasks.

2026-01-21

fix-ocaml-gc.md

13

1 export fix-ocaml-gc

2 from "letta-ai/skills"

3 Guide for debugging and fixing bugs in the OCaml garbage collector runtime, particularly issues in memory management code like sweeping, pool management, and run-length compression. This skill should be used when encountering segfaults during OCaml bootstrap, debugging crashes in runtime/shared_heap.c or similar GC code, or investigating pointer arithmetic bugs in memory allocator implementations.

2026-01-21

distribution-search.md

13

1 export distribution-search

2 from "letta-ai/skills"

3 Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets. This skill should be used when tasks involve constructing probability distributions with exact numerical properties, optimization over high-dimensional probability spaces, or satisfying multiple simultaneous statistical constraints within tight tolerances.

2026-01-21

analyzing-test-effectiveness.md

13

1 export analyzing-test-effectiveness

2 from "withzombies/hyperpowers"

3 Use to audit test quality with Google Fellow SRE scrutiny - identifies tautological tests, coverage gaming, weak assertions, missing corner cases. Creates bd epic with tasks for improvements, then runs SRE task refinement on each.

2026-01-21

debugging-with-tools.md

13

1 export debugging-with-tools

2 from "withzombies/hyperpowers"

3 Use when encountering bugs or test failures - systematic debugging using debuggers, internet research, and agents to find root cause before fixing

2026-01-21

content-calendar.md

13

1 export content-calendar

2 from "majesticlabs-dev/majestic-marketplace"

3 Generate a complete 30-day content calendar with viral content ideas, format variety, hooks, and CTAs tailored to your niche and platform. Includes content pillars, weekly themes, and batch creation workflow.

2026-01-22

documents-docx.md

13

1 export documents-docx

2 from "malhashemi/dotfiles"

3 Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

2026-01-05

model-extraction-relu-logits.md

13

1 export model-extraction-relu-logits

2 from "letta-ai/skills"

3 Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasks involve model extraction attacks, recovering hidden layer weights from neural networks, or reverse-engineering ReLU network parameters from query access.

2026-01-21

torch-tensor-parallelism.md

13

1 export torch-tensor-parallelism

2 from "letta-ai/skills"

3 This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing ColumnParallelLinear and RowParallelLinear classes.

2026-01-21

query-optimize.md

13

1 export query-optimize

2 from "letta-ai/skills"

3 Guidance for SQL query optimization tasks. This skill should be used when optimizing slow SQL queries, improving database performance, or rewriting queries to be more efficient. Covers query plan analysis, benchmarking strategies, and database-specific optimization techniques.

2026-01-21

raman-fitting.md

13

1 export raman-fitting

2 from "letta-ai/skills"

3 This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene. Use this skill when tasks involve Raman spectrum analysis, peak fitting (G peak, 2D peak, D peak), or spectroscopic curve fitting using Lorentzian, Gaussian, or Voigt functions.

2026-01-21

command-creator.md

13

1 export command-creator

2 from "malhashemi/dotfiles"

3 Authoritative templates and scaffolding for creating slash commands. This skill should be used when creating new commands, reviewing existing commands for template compliance, or understanding command structure. Contains YAML templates with section instructions and scaffolding scripts for generating command skeleton files.

2026-01-05

litestream-coder.md

13

1 export litestream-coder

2 from "majesticlabs-dev/majestic-marketplace"

3 This skill guides configuring Litestream for continuous SQLite backup in Rails 8+ apps. Use when setting up production backups for SQLite databases (Solid Queue, Solid Cache, Solid Cable).

2026-01-22

backlog-manager.md

13

1 export backlog-manager

2 from "majesticlabs-dev/majestic-marketplace"

3 Manage backlog items across multiple backends (files, GitHub Issues, Linear, Beads). Configure task_management in .agents.yml.

2026-01-22

mock-data.md

13

1 export mock-data

2 from "sgcarstrends/sgcarstrends"

3 Generate realistic mock data for testing using factories, fixtures, and Faker.js. Use when seeding test databases, creating test fixtures, or mocking API responses.

2026-01-21

protein-assembly.md

13

1 export protein-assembly

2 from "letta-ai/skills"

3 Guidance for designing fusion protein gBlock sequences from multiple protein sources. This skill applies when tasks involve combining proteins from PDB databases, plasmid files, and fluorescent protein databases into a single optimized DNA sequence with specific linkers and codon optimization requirements.

2026-01-21

portfolio-optimization.md

13

1 export portfolio-optimization

2 from "letta-ai/skills"

3 Guide for optimizing Python numerical computations with C extensions. This skill should be used when tasks involve creating C extensions for Python, implementing mathematical algorithms (matrix operations, linear algebra) in C, or optimizing computational bottlenecks to achieve significant speedup. Particularly relevant for portfolio risk/return calculations, scientific computing, and performance-critical code requiring validation against baseline implementations.

2026-01-21

ruby-coder.md

13

1 export ruby-coder

2 from "majesticlabs-dev/majestic-marketplace"

3 This skill guides writing of new Ruby code following modern Ruby 3.x syntax, Sandi Metz's 4 Rules for Developers, and idiomatic Ruby best practices. Use when creating new Ruby files, writing Ruby methods, or refactoring Ruby code to ensure adherence to clarity, simplicity, and maintainability standards.

2026-01-22

email-nurture.md

13

1 export email-nurture

2 from "majesticlabs-dev/majestic-marketplace"

3 Design automated email nurture sequences and drip campaigns with segmentation strategies, behavioral triggers, and conversion-optimized copy for welcome, educational, re-engagement, and sales sequences.

2026-01-22