Browse Skills
44756 skills found
largest-eigenval.md
13
1
export
largest-eigenval
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.
2026-01-21
code-from-image.md
13
1
export
code-from-image
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Extracting code or pseudocode from images using OCR, then interpreting and implementing it. This skill should be used when tasks involve reading code, pseudocode, or algorithms from image files (PNG, JPG, screenshots) and converting them to executable code. Applies to OCR-based code extraction, image-to-code conversion, and implementing algorithms shown in visual formats.
2026-01-21
circuit-fibsqrt.md
13
1
export
circuit-fibsqrt
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guide for implementing combinational/sequential logic circuits using gate-level descriptions in text-based simulators. This skill applies when building circuits for mathematical functions like integer square root, Fibonacci sequences, or similar computations that require both combinational logic (arithmetic operations) and sequential logic (feedback loops, state machines). Use this skill when the task involves generating gate netlists, implementing multi-bit arithmetic circuits, or debugging event-driven circuit simulators.
2026-01-21
openssl-selfsigned-cert.md
13
1
export
openssl-selfsigned-cert
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
This skill provides guidance for generating self-signed SSL/TLS certificates using OpenSSL. Use this skill when tasks involve creating private keys, self-signed certificates, certificate signing requests (CSRs), or combined PEM files. It covers verification strategies and common pitfalls in certificate generation workflows.
2026-01-21
tam-calculator.md
13
1
export
tam-calculator
2
from
"majesticlabs-dev/majestic-marketplace"
from
"majesticlabs-dev/majestic-marketplace"
3
Calculate Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) using top-down, bottom-up, and value-theory approaches with credible data sources and VC-ready presentation.
2026-01-22
Eval Analyzer.md
13
1
export
Eval Analyzer
2
from
"sunholo-data/ailang"
from
"sunholo-data/ailang"
3
Identify AILANG language gaps from agent struggles, analyze eval baselines, and generate actionable insights. PRIMARY PURPOSE is finding what stdlib/prompt improvements would help agents succeed. Use when analyzing eval results, checking benchmarks, or investigating failures.
2026-01-21
agent-sdk-guide.md
13
1
export
agent-sdk-guide
2
from
"majesticlabs-dev/majestic-marketplace"
from
"majesticlabs-dev/majestic-marketplace"
3
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Triggers on agent sdk, claude-agent-sdk, @anthropic-ai/claude-agent, build agent, programmatic agent, embed claude, custom ai agent, agent infrastructure. Covers installation, authentication providers, tool permissions, file-based configuration, and TypeScript/Python code examples.
2026-01-22
portfolio-optimization.md
13
1
export
portfolio-optimization
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).
2026-01-21
marketing-playbook.md
13
1
export
marketing-playbook
2
from
"majesticlabs-dev/majestic-marketplace"
from
"majesticlabs-dev/majestic-marketplace"
3
Your guide to the marketing toolkit. Diagnoses where you are in your marketing journey and recommends the right skills, agents, and workflows to use next.
2026-01-22
train-fasttext.md
13
1
export
train-fasttext
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
This skill provides guidance for training FastText text classification models with constraints on accuracy and model size. It should be used when training fastText supervised models, optimizing model size while maintaining accuracy thresholds, or when hyperparameter tuning for text classification tasks.
2026-01-21
nginx-request-logging.md
13
1
export
nginx-request-logging
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guidance for configuring Nginx web servers with custom logging, rate limiting, and static content serving. This skill should be used when tasks involve setting up Nginx server blocks, configuring custom log formats, implementing rate limiting, or serving static files on specific ports.
2026-01-21
reshard-c4-data.md
13
1
export
reshard-c4-data
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guidance for data resharding tasks that involve reorganizing files across directory structures with constraints on file sizes and directory contents. This skill applies when redistributing datasets, splitting large files, or reorganizing data into shards while maintaining constraints like maximum files per directory or maximum file sizes. Use when tasks involve resharding, data partitioning, or directory-constrained file reorganization.
2026-01-21
AILANG Sprint Executor.md
13
1
export
AILANG Sprint Executor
2
from
"sunholo-data/ailang"
from
"sunholo-data/ailang"
3
Execute approved sprint plans with test-driven development, continuous linting, progress tracking, and pause points. Use when user says "execute sprint", "start sprint", or wants to implement an approved sprint plan.
2026-01-21
ln-311-task-creator.md
13
1
export
ln-311-task-creator
2
from
"levnikolaevich/claude-code-skills"
from
"levnikolaevich/claude-code-skills"
3
Creates ALL task types (implementation, refactoring, test). Generates task documents from templates, validates type rules, creates in Linear, updates kanban. Invoked by orchestrators.
2026-01-21
build-pmars.md
13
1
export
build-pmars
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guidance for building pMARS (portable Memory Array Redcode Simulator) from source. This skill should be used when tasked with compiling pMARS, building Core War simulators from source packages, or creating headless/non-X11 builds of legacy C software from Debian source packages.
2026-01-21
password-recovery.md
13
1
export
password-recovery
2
from
"letta-ai/skills"
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
github-use.md
13
1
export
github-use
2
from
"ScotterMonk/AgentAutoFlow"
from
"ScotterMonk/AgentAutoFlow"
3
Any time github activity is required.
2026-01-05
ticket-create.md
13
1
export
ticket-create
2
from
"malhashemi/dotfiles"
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
drafts-actions.md
13
1
export
drafts-actions
2
from
"kerim/claude-drafts-action-skill"
from
"kerim/claude-drafts-action-skill"
3
Create and script actions for the Drafts app. Use this skill when the user needs help creating custom Drafts actions, understanding action steps, using template tags, scripting with JavaScript, or configuring action workflows for automation and productivity.
2026-01-05
git-multibranch.md
13
1
export
git-multibranch
2
from
"letta-ai/skills"
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"
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"
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
build-pmars.md
13
1
export
build-pmars
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
Guide for building pMARS (Portable Memory Array Redcode Simulator) and similar software from Debian/Ubuntu source packages. Use this skill when tasks involve enabling source repositories, downloading distribution source packages, removing X11/GUI dependencies, modifying Makefiles, diagnosing segmentation faults, and building headless versions of applications. Applies to Core War simulators and similar legacy software with optional graphics support.
2026-01-21
polyglot-c-py.md
13
1
export
polyglot-c-py
2
from
"letta-ai/skills"
from
"letta-ai/skills"
3
This skill provides guidance for creating polyglot files that are valid in both C and Python. It should be used when tasks require writing code that compiles and runs correctly as both a C program and a Python script, producing identical or specified output from each interpreter/compiler.
2026-01-21