Total 45,323 skills
Showing 12 of 45323 skills
Guidance for reverse engineering graphics rendering programs (ray tracers, path tracers) from binary executables. This skill should be used when tasked with recreating a program that generates images through ray/path tracing, particularly when the goal is to achieve pixel-perfect or near-pixel-perfect output matching. Applies to tasks requiring binary analysis, floating-point constant extraction, and systematic algorithm reconstruction.
Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.
Guidance for recovering data from corrupted or truncated SQLite database files through binary analysis and manual parsing. This skill applies when working with damaged SQLite databases that cannot be opened with standard tools, particularly when corruption is due to binary truncation, incomplete writes, or filesystem errors.
Guide for building CompCert, the formally verified C compiler, from source. This skill should be used when compiling, building, or installing CompCert, or when working with Coq-based software that has strict dependency version requirements. Covers OCaml/opam setup, Coq version compatibility, memory management, and common build pitfalls.
Provides strategies for efficiently transforming large text files (thousands to millions of lines) using text editors like Vim, sed, or awk. This skill should be used when tasks involve bulk text transformations, CSV manipulation at scale, pattern-based edits across massive files, or when keystroke/operation efficiency is constrained. Applicable to tasks requiring macros, regex substitutions, or batch processing of structured text data.
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.
This skill provides guidance for merging data from multiple heterogeneous sources (JSON, CSV, Parquet, XML, etc.) into a unified dataset. Use this skill when tasks involve combining records from different file formats, applying field mappings, resolving conflicts based on priority rules, or generating merged outputs with conflict reports. Applicable to ETL pipelines, data consolidation, and record deduplication scenarios.
Audit code compliance with AGENTS.md project guidelines. Checks adherence to project conventions, naming, patterns, and standards. Read-only analysis. Use before PR. Triggers: review agents.md adherence, check guidelines, project standards compliance.
Master viral app growth engineering using proven social media strategies. Provides comprehensive guidance on TikTok/Instagram Reels marketing, UGC networks, viral hooks, content formats, monetization, and scaling tactics based on 100+ real case studies generating billions of views and millions in revenue.
Expert in building cross-platform apps with Flutter 3+. Specializes in Dart, Riverpod, Flame (Game Engine), and FFI (Native Integration).
Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasked with recovering internal parameters (weights, biases) of a neural network that can only be queried for outputs, particularly two-layer ReLU networks. Use this skill for model extraction, model stealing, or neural network reverse engineering tasks.
Guidance for implementing PyTorch pipeline parallelism for distributed model training. This skill should be used when tasks involve implementing pipeline parallelism, distributed training with model partitioning across GPUs/ranks, AFAB (All-Forward-All-Backward) scheduling, or inter-rank tensor communication using torch.distributed.