obsidian-skills
claudecodexAgent skills for working in an Obsidian vault
2 skills
Agent skills for process mining event logs with the pmx CLI
Plugin process-mining from marketplace tteschon-agent-skills in tteschon/skills. Commands read from the repo's manifest — 6 days ago.
build-event-logTurn data a user already has into an event log for process mining - a CSV of case, activity and timestamp rows that pmx reads with no flags - from Salesforce history, Jira or Linear changelogs, GitHub pull requests, Claude Code sessions, or a spreadsheet of status dates, then check it can be mined.
pmx-process-miningProfile event logs and discover process models using the pmx CLI. Use when the user has an event log (.xes, .xes.gz, or CSV of case/activity/timestamp rows) and wants to know what their process actually looks like -- case, activity and variant counts, the most common paths, or a mined process model
Agent skills for working in an Obsidian vault
2 skills
Agent skills for measuring how Claude Code agents perform, starting with what they cost
1 skill
Agent skills for authoring and packaging agent skills
1 skill
Fun and creative agent skills
1 skill
Agent skills for Python projects and their toolchain
1 skill
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
Install the "AAS Data Analytics & Business Intelligence" editorial skill bundle for Claude Code.
16 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
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
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.