Plugins

4 plugins

Run Agent Evaluation

Sets up evaluation framework, runs benchmarks, and produces comparative analysis of agent performance.

9 skills · plugin

Atlassian-facing extensions to the Han suite. Adds markdown-to-confluence, which publishes a local Markdown file to a user-specified Confluence page; project-documentation-to-confluence, which runs the han-documentation project-documentation skill and then publishes the result there; investigate-to-confluence, which runs the core investigate skill and publishes the resulting investigation report t

6 skills · plugin

Builds multi-language source code graphs for security analysis: call graphs, attack surface mapping, blast radius, taint propagation, complexity hotspots, and entry point enumeration. Generates Mermaid diagrams (call graphs, class hierarchies, dependency maps, heatmaps). Compares code graph snapshots for structural diff and evolution analysis. Runs graph-informed mutation testing triage (genotoxic

10 skills · plugin

Han Communication

Foundational communication plugin for the Han suite. Owns the canonical readability standard, writing-voice profile, and explanation standard, the readability-guidance skill that surfaces the first two into a calling skill's context for in-voice drafting, the explanation-guidance skill that surfaces the third at the point a run talks to a person, the readability-editor agent that runs the adversar

3 skills · plugin

Results for “runs”

520 skills

Trains, evaluates, exports, and runs inference for person re-identification models using TAO, learning discriminative embeddings for cross-camera matching.

Tao Run Automl Deft Pipeline

Runs a three-phase AOI training pipeline: AutoML HPO baseline, DEFT iterative data improvement, and AutoML refinement on the augmented dataset.

Runs a structured code review as a pre-commit or pre-ship gate, supporting multiple review engines and scope governance.

Runs a fast quality gate that detects the project stack, performs static analysis, checks cross-layer consistency, and fixes issues between pipeline phases.

Runs a deeper code review with the GLM-5 model via glm-review, validates findings against the actual code, and reports only confirmed issues.

Runs systematic quality checks across accessibility, performance, theming, and responsive design, then generates a prioritized audit report with actionable recommendations without fixing issues.

Runs meetings effectively: classifies meeting types, prepares agendas, facilitates discussions, captures decisions and actions, and audits recurring meetings to fix poor meeting culture.

Runs time series machine learning tasks—classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search—using the scikit-learn compatible aeon toolkit.

Runs and writes tests, verifies behavior, and orchestrates two-pass TDD across scoped modes, blocking on quality gates and never editing production code.

Interact with GitHub using the `gh` CLI to check PR checks, list and view CI runs, and run advanced API queries with JSON output.

Runs Stanford's STORM pipeline to produce Wikipedia-quality research articles with citations, using Claude models and a search engine API.

Runs a multi-agent adversarial verification loop where two independent reviewers must both pass before output ships, with a fix cycle for convergence.

Runs R statistics analyses on local datasets, producing NLSS-format tables, narratives, and JSONL logs from CSV, SAV, RDS, RData, or Parquet files.

Use when work should be delegated to Claude Code CLI, especially headless `claude -p` runs, automation scripts, CI jobs, resumable sessions, or requests to use Claude/Claude Code for a task.

brycewang-stanford

Use to lock the single narrative arc before drafting — converts a set of correct results into one Cell-shaped story that runs hypothesis → mechanism → significance, not a list of experiments.

Runs a stateful grilling session that produces workflow specs for workflows the user wants to build. Use when the user says "loop me" or wants workflow specs drawn out of them.

Runs a relentless interview that sharpens a plan or design. Use when the user wants to be grilled on an idea, pressure-test a plan, or refine a design through questioning.

Runs a relentless interview that asks every frontier question at once, round by round. Use when the user wants to be grilled on a design or map a design tree.

Read, write, and browse the AgentHub message board for agent coordination. Use when the user runs /hub:board or asks to post, read, or inspect coordination messages between competing AgentHub agents.

Runs deep research queries through a reachable NVIDIA AI-Q Blueprint backend, handling health checks, job submission, polling, and report retrieval.

Laravel Verification

Runs a multi-phase verification pipeline for Laravel projects including environment checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

Runs a full quality pass that chains parallel UX and scalability audits, QA verification, and a consistency gate, fixing all issues found across any stack.

Runs a read-only pre-deploy verification gate covering git status, builds, tests, migrations, secrets, and commit conventions, then reports READY or NOT READY.

Runs an offline ASO audit on canonical App Store metadata, then performs keyword gap analysis via Astro MCP to surface optimization opportunities.

sakamoto-family-smile

Runs evidence-first current-state research, comparing options and enriching people or companies, then reports with explicit evidence boundaries.

Refactors code by removing unused imports, variables, methods, redundant comments, and fixing formatting, with automatic test runs and commits after each step.

Runs SQL queries and data conversions on CSV, Parquet, and JSON files using the DuckDB command-line interface, including schema inspection and output formatting.

Runs a disciplined diagnosis loop for hard bugs and performance regressions, from reproduction through hypothesis testing, instrumentation, fixing, and regression testing.

Runs an interactive QA session, clarifying user-reported problems, exploring the codebase for context, and filing durable, user-focused GitHub issues.

Runs a local voice MCP server in Rust for text-to-speech and speech-to-text, with build, test, and configuration guidance.

cloudthinker-ai

Runs kubectl and helm commands with kubeconfig injection, emphasizing parallel execution, JSON output with jq filtering, and batch operations for efficient cluster management.

Merge the winning agent's branch into base, archive losers, and clean up worktrees. Use when the user runs /hub:merge or asks to land the winning AgentHub result and tidy the session.

Launch N parallel subagents in isolated git worktrees to compete on the session task. Use when the user runs /hub:spawn or asks to start the competing agents for an initialized AgentHub session.

Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics. Use when the user runs /si:review or asks what has been learned and what should be promoted or pruned.

Use when a commit's changes are finished and about to be presented for review. Runs the checks that catch the objections the user would otherwise raise, before they spend time reviewing.

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:run or asks to execute a full AgentHub competition end-to-end.