Install payload
Install payload is broadly covered in current results.
75% (9/12)
9 trusted · 146 review in this set — compare to see which signals differ.
Trust signals across 40 of 155 results
3 trust signals differ in this sample: Package trust, Source provenance, Submitter
Signals differ on Package trust, Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
75% (9/12)
Adoption queue
30/155 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/cli-data-viz-quickstart · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/git-cliff-release-changelog-capability-pack · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/github-actions-ai-cicd · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/github-actions-secure-cicd-capability-pack · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/heyclaude-content-submission-factory · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/linear-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/log-parsing-incident-timeline · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/mcp-server-authoring-security-capability-pack · trust trusted · confidence 83%
Decision confidence
30/155 results are low-confidence and need review before adoption.
Confident candidate for staged adoption.
74/100
skills/cli-data-viz-quickstart · trust trusted
Confident candidate for staged adoption.
74/100
skills/git-cliff-release-changelog-capability-pack · trust trusted
Confident candidate for staged adoption.
74/100
skills/github-actions-ai-cicd · trust trusted
Confident candidate for staged adoption.
74/100
skills/github-actions-secure-cicd-capability-pack · trust trusted
Confident candidate for staged adoption.
74/100
skills/heyclaude-content-submission-factory · trust trusted
Confident candidate for staged adoption.
74/100
mcp/linear-mcp-server · trust trusted
Confident candidate for staged adoption.
74/100
skills/log-parsing-incident-timeline · trust trusted
Confident candidate for staged adoption.
74/100
skills/mcp-server-authoring-security-capability-pack · trust trusted
Freshness distribution
Median age 73 days; 6 fresh of 12 scanned. Re-verify the oldest entries.
Oldest entries in this view
Theme distribution
108 distinct themes with no dominant one. Most common: claude-code, python, ai-agents.
108 distinct themes across 24 scanned
Integrate with Linear's issue tracking and project management system
Official LINE MCP server that connects Claude and other AI agents to the LINE Messaging API for push messages, broadcasts, profile lookup, quotas, follower IDs, and rich-menu management.
Real-time coding velocity monitor tracking lines added/removed per minute with productivity scoring and daily output projection for Claude Code sessions.
Expert release-changelog capability pack for git-cliff with conventional commits, deterministic release notes, and low-maintenance versioning.
Build intelligent CI/CD pipelines with GitHub Actions, AI-assisted workflow generation, automated testing, and deployment orchestration.
Turn CSV, JSON, or Excel data into publication-ready charts with Python: load it with pandas and render bar, line, scatter, and statistical plots in matplotlib (with seaborn styling), then export high-DPI PNG or SVG.
Parse web, application, and system logs into structured incidents and timelines with anomaly detection.
Open-source Python framework for building real-time voice and multimodal conversational agents, orchestrating speech-to-text, LLM, text-to-speech, voice activity detection, and transports as a composable pipeline with pluggable providers.
Source-backed KLinePic stdio MCP server for turning broker and exchange fills into annotated post-trade candlestick review charts, with capability discovery and no-charge request preflight before quota-consuming rendering.
Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.
Open-source Python library from dottxt for structured LLM generation, guaranteeing outputs that match a JSON schema, Pydantic model, regex, grammar, or multiple-choice set during generation across many model backends.
The official InfluxData MCP server for InfluxDB 3 (Core, Enterprise, Cloud Dedicated, Clustered, and Cloud Serverless). It lets LLMs run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health over the Model Context Protocol.
Connect Claude to DataHub — search assets, trace data lineage, explore schemas, retrieve real query history, and enrich metadata — with the official DataHub MCP server from Acryl Data, supporting the full DataHub data catalog platform.
Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.
Official GreenSock GSAP AI Skills for coding agents that need correct GSAP tweens, timelines, ScrollTrigger, React cleanup, plugins, utilities, framework lifecycle guidance, and animation performance patterns.
Official LiveKit Agent Skills for AI coding agents building low-latency voice AI, LiveKit Agents workflows, handoffs, mandatory tests, and simulation scenario suites.
Open-source Python multi-agent framework that assigns product manager, architect, project manager, engineer, and other software-company roles to LLM agents for natural-language programming, repo generation, data interpretation, research, debate, and custom agent workflows.
Slash command that builds a chronological incident timeline from trusted sources such as GitHub Actions run metadata, deployment notes, and operator timestamps, then drafts a handoff-ready post-incident summary.
Use Claude Code slash commands for maintainer workflows: project commands in .claude/commands, namespacing, permission-safe defaults, review before merge, and documenting command scope for contributors.
Configure Claude Code statuslines for workflow visibility: model identity, context usage, git branch, session mode, and custom metrics so maintainers see agent state at a glance without leaving the terminal.
Configure Claude Agent SDK and Claude Code tool search so large MCP catalogs defer schemas until needed, using ENABLE_TOOL_SEARCH modes, alwaysLoad discipline, and context budgeting from official tool-search documentation.
Source-backed agent that operates Claude Code inside GitLab CI pipelines — triaging pipeline failures, generating MR descriptions, running automated code review on diffs, and reporting findings back to merge requests via the GitLab API through a narrow write proxy and explicit prompt-injection boundaries.
Expert incident timeline reconstruction capability pack for correlating deploy events, logs, traces, alerts, and chat transcripts into a source-backed, privacy-safe post-incident timeline with validation checkpoints.
Expert release changelog generation capability pack for drafting, validating, and publishing user-facing release notes from conventional commits, tags, and GitHub Releases with source-backed review matrices and privacy-safe output.
Step-by-step guide to packaging Claude Code plugins as zip archives: directory layout, manifest files, validation, and internal distribution.
Official CircleCI MCP server that lets LLMs query build and test failures, detect flaky tests, check pipeline status, fetch build logs, and validate config in CircleCI through natural language.
Code intelligence MCP server with a Zig core for local project indexing, structural outlines, symbol lookup, search, dependency graphs, snapshots, remote public-repo queries, and fallback edits.
MCP server for controlling DaVinci Resolve Studio through the official scripting API, with tools for projects, timelines, media pools, render setup, review markers, grading, Fusion, Fairlight, and source-safe media analysis.
Official Mapbox MCP server for geocoding, POI search, routing, travel-time matrices, isochrones, static maps, and geospatial calculations in Claude.
Interactive feedback MCP server that opens a web or Tauri desktop interface so AI coding agents can ask the human for confirmation, structured feedback, screenshots, prompt snippets, and follow-up direction during development.