Browse Skills

merge-diff-arc-agi-task.md

13

1 export merge-diff-arc-agi-task

2 from "letta-ai/skills"

3 This skill provides guidance for tasks involving merging git branches that contain different implementations of ARC-AGI pattern recognition algorithms, and then implementing a working solution that generalizes across examples. Use this skill when the task involves (1) merging git branches with conflicting code, (2) analyzing ARC-AGI style input/output grid transformations, or (3) implementing pattern recognition algorithms that must generalize to unseen test cases.

2026-01-21

Parser Developer.md

13

1 export Parser Developer

2 from "sunholo-data/ailang"

3 Guides AILANG parser development with conventions and patterns. Use when user wants to modify parser, understand parser architecture, or debug parser issues. Saves 30% of development time by preventing token position bugs.

2026-01-21

ln-113-backend-docs-creator.md

13

1 export ln-113-backend-docs-creator

2 from "levnikolaevich/claude-code-skills"

3 Creates 2 backend docs (api_spec.md, database_schema.md). L3 Worker invoked CONDITIONALLY when hasBackend or hasDatabase detected.

2026-01-21

financial-model.md

13

1 export financial-model

2 from "majesticlabs-dev/majestic-marketplace"

3 Build comprehensive financial models with revenue projections, unit economics, P&L forecasts, scenario analysis, and investor-ready financial narratives for startups and growth companies.

2026-01-22

torch-pipeline-parallelism.md

13

1 export torch-pipeline-parallelism

2 from "letta-ai/skills"

3 This skill provides guidance for implementing PyTorch pipeline parallelism for distributed training of large language models. It should be used when implementing pipeline parallel training loops, partitioning transformer models across GPUs, or working with AFAB (All-Forward-All-Backward) scheduling patterns. The skill covers model partitioning, inter-rank communication, gradient flow management, and common pitfalls in distributed training implementations.

2026-01-21

rstan-to-pystan.md

13

1 export rstan-to-pystan

2 from "letta-ai/skills"

3 Guidance for converting R-Stan (RStan) code to Python-Stan (PyStan). This skill applies when translating Stan models and inference code from R to Python, including API mapping between RStan and PyStan 3.x, hyperparameter translation, and handling differences in output formats. Use this skill for statistical model migration, Bayesian inference code conversion, or when working with Stan models across R and Python ecosystems.

2026-01-21

break-filter-js-from-html.md

13

1 export break-filter-js-from-html

2 from "letta-ai/skills"

3 Guidance for bypassing HTML/JavaScript sanitization filters in security testing contexts. This skill should be used when tasked with finding XSS filter bypasses, testing HTML sanitizers, or exploiting parser differentials between server-side filters and browsers. Applies to CTF challenges, authorized penetration testing, and security research involving HTML injection and JavaScript execution through sanitization bypasses.

2026-01-21

server-actions.md

13

1 export server-actions

2 from "sgcarstrends/sgcarstrends"

3 Create or update Next.js server actions for blog and analytics functionality. Use when adding form handlers, data mutations, or server-side logic in the web app.

2026-01-21

compound-learnings.md

13

1 export compound-learnings

2 from "majesticlabs-dev/majestic-marketplace"

3 Extract patterns from git history and session files, recommend artifacts (skill/rule/hook/agent) based on frequency thresholds

2026-01-22

rspec-rails.md

13

1 export rspec-rails

2 from "kurko/dotfiles"

3 Write Ruby on Rails specs with RSpec following best practices for unit tests, request specs, feature specs, and job specs. Use when writing or modifying RSpec test files for Rails applications.

2026-01-22

sparql-university.md

13

1 export sparql-university

2 from "letta-ai/skills"

3 Guidance for writing SPARQL queries against RDF/Turtle datasets, particularly for university or academic data. This skill should be used when tasks involve querying RDF data with SPARQL, filtering entities based on multiple criteria, aggregating results, or working with Turtle (.ttl) files.

2026-01-21

ln-340-story-quality-gate.md

13

1 export ln-340-story-quality-gate

2 from "levnikolaevich/claude-code-skills"

3 Story-level quality orchestrator. Pass 1: code quality -> regression -> manual testing (fail fast). Pass 2: verify tests/coverage -> mark Story Done. Auto-discovers team/config.

2026-01-21

rstan-to-pystan.md

13

1 export rstan-to-pystan

2 from "letta-ai/skills"

3 This skill provides guidance for translating RStan (R-based Stan interface) code to PyStan (Python-based Stan interface). It should be used when converting Stan models from R to Python, migrating Bayesian inference workflows between languages, or adapting R data preparation logic to Python equivalents.

2026-01-21

regex-log.md

13

1 export regex-log

2 from "letta-ai/skills"

3 Guidance for extracting structured data from log files using regular expressions. This skill applies when parsing logs to extract dates, IP addresses, timestamps, or other structured patterns, especially when multiple conditions must be combined (e.g., "find the last date on lines containing an IP"). Use this skill for complex regex construction involving lookaheads, anchors, and pattern composition.

2026-01-21

test-driven-development.md

13

1 export test-driven-development

2 from "withzombies/hyperpowers"

3 Use when implementing features or fixing bugs - enforces RED-GREEN-REFACTOR cycle requiring tests to fail before writing code

2026-01-21

agent-creator.md

13

1 export agent-creator

2 from "malhashemi/dotfiles"

3 Authoritative templates and scaffolding for creating agent system prompts (primary agents and subagents). This skill should be used when creating new agents, reviewing existing agent prompts for template compliance, verifying agent structure, or extracting knowledge into agent prompts. Contains YAML templates with section-by-section instructions and scaffolding scripts for generating skeleton files.

2026-01-05

brainstorming.md

13

1 export brainstorming

2 from "majesticlabs-dev/majestic-marketplace"

3 Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

2026-01-22

largest-eigenval.md

13

1 export largest-eigenval

2 from "letta-ai/skills"

3 Guidance for finding the largest eigenvalue of small dense matrices with performance optimization. This skill should be used when tasks involve computing eigenvalues (especially the dominant/largest eigenvalue), optimizing numerical linear algebra routines, or improving performance of numpy/scipy matrix operations for small matrices (typically 2-10 in size).

2026-01-21

schema-design.md

13

1 export schema-design

2 from "sgcarstrends/sgcarstrends"

3 Design or modify Drizzle ORM schemas with proper relationships, constraints, and indexes. Use when adding new tables, modifying existing schemas, or optimizing database structure.

2026-01-21

extern-researcher.md

13

1 export extern-researcher

2 from "malhashemi/dotfiles"

3 Research external open-source repositories to learn patterns and implementations. This skill should be used when agents need to study external codebases, check for existing research before cloning, manage temporary workspaces, and persist findings to the global thoughts system. Triggers include: studying external repos, learning from open source, cloning for pattern research, or checking what has been researched.

2026-01-05

Benchmark Manager.md

13

1 export Benchmark Manager

2 from "sunholo-data/ailang"

3 Create and manage AILANG eval benchmarks. Use when user asks to create benchmarks, fix benchmark issues, debug failing benchmarks, or analyze benchmark results.

2026-01-21

gpt2-codegolf.md

13

1 export gpt2-codegolf

2 from "letta-ai/skills"

3 Guidance for implementing minimal GPT-2 inference in constrained environments (code golf challenges). This skill should be used when implementing neural network inference from scratch, parsing binary checkpoint formats, implementing BPE tokenization, or working on code golf challenges involving ML models. Covers verification strategies and common pitfalls for checkpoint parsing and model inference.

2026-01-21

circuit-fibsqrt.md

13

1 export circuit-fibsqrt

2 from "letta-ai/skills"

3 Guidance for building digital logic circuits that compute composite functions like Fibonacci of integer square root. This skill applies when implementing combinational and sequential logic in gate-level simulators, particularly when combining algorithms (like isqrt and Fibonacci) under resource constraints (gate counts, simulation steps). Use for circuit synthesis, HDL-style logic design, or gate-level algorithm implementation tasks.

2026-01-21

active-job-coder.md

13

1 export active-job-coder

2 from "majesticlabs-dev/majestic-marketplace"

3 Use when creating or refactoring Active Job background jobs. Applies Rails 8 conventions, Solid Queue patterns, error handling, retry strategies, and job design best practices.

2026-01-22