resume-quantifier
Find opportunities to add metrics and estimate numbers when exact data unavailable
offer-comparison-analyzer
Compare multiple job offers side-by-side with total compensation analysis
architecture-paradigm-pipeline
Design pipes-and-filters for sequential data transformations. Use when data flows through processing stages.
workflow-diagram
Generate workflow diagrams showing process steps, decision points, and state transitions
quality-gate
Orchestrates egregore's QUALITY pipeline stage. Runs convention checks and invokes review skills for each quality step. Supports self-review (pre-PR) and PR-review (other agents' PRs) modes.
metacognitive-self-mod
Analyze and improve the improvement process. Use for detecting quality regressions and refining meta-optimization.
latent-space-engineering
Shape agent behavior through instruction framing, emotional priming, and style transfer rather than information density alone.
risk-classification
Inline risk classification for agent tasks using a 4-tier model. Hybrid routing: GREEN/YELLOW use heuristic file-pattern matching, RED/CRITICAL escalate to war-room-checkpoint for full reversibility scoring.
netsuite-ai-connector-instructions
NetSuite Intelligence skill — teaches AI the correct tool selection order, output formatting, domain knowledge, multi-subsidiary and currency handling, and SuiteQL safety guardrails for any AI + NetSuite AI Service Connector session.
add-afm-model
Add support for a new HuggingFace MLX model to AFM. Use when user wants to add, onboard, or check compatibility of a model — handles everything from "already supported" to implementing new architectures.
openrouter-trending-models
Fetch trending programming models from OpenRouter rankings. Use when selecting models for multi-model review, updating model recommendations, or researching current AI coding trends. Provides model IDs, context windows, pricing, and usage statistics from the most recent week.
data-extraction-patterns
Common patterns for extracting analytics data from GA4 and GSC with API handling
model-tracking-protocol
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "external models", "consensus", "model tracking".
performance-tracking
Track agent, skill, and model performance metrics for optimization. Use when measuring agent success rates, tracking model latency, analyzing routing effectiveness, or optimizing cost-per-task. Trigger keywords - "performance", "metrics", "tracking", "success rate", "agent performance", "model latency", "cost tracking", "optimization", "routing metrics".
task-complexity-router
Complexity-based task routing for optimal model selection and cost efficiency. Use when deciding which model tier to use, analyzing task complexity, optimizing API costs, or implementing tiered routing. Trigger keywords - "routing", "complexity", "model selection", "tier", "cost optimization", "haiku", "sonnet", "opus", "task analysis".
session-trends
Analyze trends across session metrics. Computes windowed aggregates, deltas, and compares against MEMORY.md findings. Use periodically for progress tracking.
ecto-patterns
Ecto patterns — schemas, changesets, queries, migrations, Multi, associations, preloads, upserts. Use when editing Repo calls, Ecto.Query, or schema fields. Skip for Ash.
pentest-ctf-binary
Binary exploitation (Pwn) and reverse engineering tools for CTF challenges and software analysis.
brainstorming
Collaborative ideation and planning with resilient multi-model exploration, consensus scoring, and adaptive confidence-based validation
proxy-mode-reference
Reference guide for using external AI models via claudish CLI. Use when running multi-model reviews, understanding how /team invokes external models, or debugging external model integration issues. Includes routing prefixes for MiniMax, Kimi, GLM direct APIs.
data-visualization
Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.
data-analysis
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
data-orchestrator
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics. Applies data-quality-standard.md (95% minimum).