sveltekit-remote-functions
SvelteKit remote functions guidance. Use for command(), query(), form() patterns in .remote.ts files.
security-threat-model
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.
security
Security best practices for secure coding, authentication, authorization, and data protection. Use when developing features that handle sensitive data, user authentication, or require security review.
sedonadb-geoacset
SedonaDB spatial engine enabling GeoACSets.jl categorical geospatial operations with O(log n) indexing
segal-space
Segal spaces: ∞-categories via simplicial spaces.
self-learnable-worlds
Worlds that learn their own structure via curiosity-driven exploration, compression progress, and autopoietic feedback loops.
self-under-siege
Agent identity preservation under adversarial conditions via RepEng control vectors, Markov blanket defense, and GF(3) trit-conserved self/non-self discrimination
semgrep-rule-variant-creator
Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.
semilattice-discovery
Compositional skill discovery via join-semilattice fiber (color × trit × hash)
sentry
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.
servo-ghostty
Servo browser engine integration with ghostty-web for full-color terminal tiles
session-navigation
|
sexp-neighborhood
Exhaustive index of S-expression using skills with GF(3) triadic classification and bridge patterns
shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
sheaf-cohomology-bci
Local-to-global signal consistency via cellular sheaves, Cech cohomology, and sheaf Laplacian
sheaf-theoretic-coordination
**Category:** Phase 3 Core - Distributed Reasoning
sheaf-uncertainty
Bayesian sheaf neural networks for uncertainty quantification. Sheaf
shell-guard
Shell ENOENT prevention with fallback chain and environment validation
simple-deployment-on-vm
How to do simple but secure deployments using virtual machines on different cloud providers
simpy
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
Skill Builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
Skill Development
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
skill-finder-verifier
Find locally-created skills and verify provenance. Distinguishes locally-created from batch-installed by diffing against asi/skills/ baseline. Evaluates modified downloads for functional improvement. Triggers: new skills, local skills, skill audit, skill provenance, skill verification.
skill-repo-sync
Push local skills to plurigrid/asi repo, remove skills by agreement (with full history purge), and manage .gitignore for local-only skills. Triggers: push skills, sync asi, remove skill from repo, skill repo sync, purge skill.
skill-stats
Skill statistics, thread usage analysis, GF(3) conservation tracking, and probe verification for the 443+ skill ecosystem
skill
Comprehensive guide to understanding, writing, validating, and using skills in agent systems. Covers the agentskills.io specification, progressive disclosure patterns, frontmatter validation, directory structure, and tooling. When you need to teach agents how to read skills, validate skill metadata, work with SKILL.md files, or understand skill architecture.
social-content
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
social-engineering-audit
Assess social engineering attack surface in applications and organizations. Identifies pretexting vectors, OSINT exposure, phishing susceptibility in authentication flows, and human-factor vulnerabilities in security architecture. Use when auditing auth flows, help desk procedures, password reset mechanisms, or organizational security posture.
sora
Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI\u2019s video API using the bundled CLI (`scripts/sora.py`), including requests like \u201cgenerate AI video,\u201d \u201cSora,\u201d \u201cvideo remix,\u201d \u201cdownload video/thumbnail/spritesheet,\u201d and batch video generation; requires `OPENAI_API_KEY` and Sora API access.
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
spectral-gap-analyzer
Measures proof system health via Laplacian eigenvalue gap analysis.
spectral-methods
Fourier-Laplacian eigenmodes for frequency domain analysis of graph and signal structures
spectral-random-walker
Integrates spectral gaps with random walk theory using the Benjamin Merlin Bumpus comprehension model.
spectre-worldmat
Spectre monotile principles applied to Worldmat thread evolution with GF(3) conservation
speech
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
spreadsheet
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.
sqlite-scanner
Scan filesystems for SQLite databases by magic-byte detection. Wraps simonw/sqlite-scanner (Go binary via PyPI/uvx). Use for forensic inventory, honeypot canary detection, VM disk auditing, and database cataloging.
ssh
Establish and manage SSH connections to remote machines, including key generation, configuration, and file transfers. Use when connecting to remote servers, executing remote commands, or transferring files via SCP.
stable-baselines3
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.
stahl-bersetzer
Steel-to-Stahl (mattwparas/steel Scheme) German translation validator with semantic preservation and type equivalence. Triggers: stahl, steel, scheme, german translation, semantic preservation.
stahl-übersetzer
Steel→Stahl Übersetzungsvalidierung mit semantischer Erhaltung und Typ-Äquivalenz
statistical-analysis
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
statsmodels
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
steamvr-tracking
SteamVR Tracking (Lighthouse/Base Stations) setup + specs. Use for playspace sizing, base station placement, compatibility, and troubleshooting across SteamVR-tracked headsets.
stellar-resolution
stellar-resolution skill
stellogen-proof-search
Automated resolution-based proof search via stellar resolution and bidirectional unification
stochastic-resonance
Noise-enhanced signal detection via Kramers rates and optimal noise analysis
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
string-database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
string-diagram-rewriting-protocol
Kernel protocol for compositional string diagram rewriting across all skills
Page 39 of 41 · 2048 results