data-analysis
214
mermaid-diagrams
Practical guide for creating human-readable and agent-parseable diagrams using Mermaid. Includes conservative, renderer-compatible templates and when-to-use guidance.
comol
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
machine-learning
214
evidence-based-rag
Evidence-first retrieval-augmented reasoning skill for decision-critical scenarios. Retrieves information from a specified knowledge base, extracts verifiable evidence, detects conflicting claims, and evaluates answer sufficiency with explicit confidence and risk signals. Produces traceable outputs suitable for agent-level decision control and escalation.
xorbitsai
data-ai
data-analysis
213
seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
ai4protein
data-ai
data-analysis
213
matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
ai4protein
data-ai
data-engineering
213
temporal-parameter-staleness
Type Thought-template (instantiate before use) - Research basis Cached parameters in multi-step operations become stale when governance changes them mid-operation
PlamenTSV
data-ai
data-engineering
213
openspec-sync-specs
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
SAP
data-ai
machine-learning
213
zero-state-return
Trigger Pattern Vault/pool/first-depositor pattern detected - Inject Into Depth-edge-case
PlamenTSV
data-ai
machine-learning
213
token-flow-tracing
Performs comprehensive token flow analysis by tracing all token entry and exit paths, verifying accounting consistency, detecting unsolicited transfer vectors, and identifying risks such as donation attacks, balance desynchronization, token type confusion, and side-effect-driven state changes.
PlamenTSV
data-ai
data-analysis
212
summarise-notebook-folder
Read through all experiment notebooks in a folder and write a summary README.
tradingstrategy-ai
data-ai
machine-learning
212
convert-to-optimiser
Convert a backtesting notebook into a parameter optimisation notebook using the bundled transformation mapping to choose searchable parameters and rewrite the notebook.
tradingstrategy-ai
data-ai
data-analysis
211
excel-report-generator
Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.
wwwzhouhui
data-ai
machine-learning
211
multi-model-validation
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/, kimi/, glm/) for cost savings. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "minimax", "kimi", "glm", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".
MadAppGang
data-ai
llm-ai
211
claudish-usage
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
MadAppGang
data-ai
llm-ai
211
tag-command-mapping
How tag-to-command routing works in autopilot. Defines default mappings, precedence rules, and customization patterns.
MadAppGang
data-ai
llm-ai
211
claudish-usage
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
MadAppGang
data-ai
llm-ai
211
debug-mode
Enable, disable, and manage debug mode for agentdev sessions. Records all tool invocations, skill activations, hook triggers, and agent delegations to JSONL. Use when debugging agent behavior, optimizing workflows, or analyzing session performance.
MadAppGang
data-ai
data-engineering
211
super-dev-core
Super Dev pipeline governance for research-first, commercial-grade AI coding delivery
shangyankeji
data-ai
data-engineering
211
super-dev-core
Super Dev pipeline governance for research-first, commercial-grade AI coding delivery
shangyankeji
data-ai
data-engineering
211
vault-curator
Process raw inbound content (emails, voice memos, notes) into structured Obsidian vault records with proper frontmatter, wikilinks, and file placement.
ssdavidai
data-ai
machine-learning
210
operator-versioning
Map between Calico/enterprise versions and tigera/operator release branches. Use this skill whenever you need to determine which operator branch corresponds to a Calico or enterprise release (e.g., "which operator branch is Calico v3.30?"), or the reverse (e.g., "what Calico version does release-v1.40 ship?"). Also use this skill whenever cherry-picking to operator release branches, creating cherry-pick PRs targeting release branches, or any task that requires knowing the operator↔Calico version relationship. Trigger even if the user doesn't explicitly ask about versioning — if the task involves targeting an operator release branch by Calico version, use this skill to find the right branch.
tigera
data-ai
machine-learning
208
add-model-server
Add a new VLA model server to the evaluation harness. Use this skill whenever the user wants to integrate, create, or add a new model — e.g. 'add OpenVLA server', 'integrate RT-2', 'hook up my model', 'write a model server'. Also use when they ask how model servers work or want to understand the server interface.
allenai
data-ai