prodsec-skills
claudeSecurity guidance skills for AI coding assistants
145 skills
Snowflake data analysis commands for engineering metrics and reports
Plugin snowflake from marketplace ai-helpers in openshift-eng/ai-helpers. Commands read from the repo's manifest — today.
setup-snowflakeThis skill should be used before any Snowflake command to verify MCP connectivity, guide users through access provisioning, and set the session context. Invoke this skill proactively whenever a command needs Snowflake data access.
/snowflake:activity-type-reportClassify Jira issues into activity types using AI and generate an interactive sankey report
Security guidance skills for AI coding assistants
145 skills
A plugin to work with OpenShift CI and analyze Prow job results
36 skills · 20 commands · 2 agents · 1 MCP server
PatternFly development tools from the UXD team — component scaffolding, design guidance, auditing, migration, test generation, and an MCP server.
55 skills
A plugin to automate tasks with Jira
13 skills · 17 commands · 1 MCP server
Team structure knowledge and health analysis commands for OpenShift teams
13 skills · 10 commands
OpenShift development utilities and helpers
2 skills · 17 commands
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Without good data, your agent gives generic advice. Keyword research, competitor research, backlinks, and site audits. All for $10/month.
12 skills · 1 MCP server
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