37 plugin dari marketplace Claude Code publik. Masing-masing membundel skill, slash command, agent, hook, atau MCP server yang di-install bersama.
Menampilkan 37 plugin yang sesuai dengan filter ini.
claude-code-skillsalirezarezvani/claude-skills2
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace2
personal-corp-osserejaris/personal-corp-os1
aiwgjmagly/aiwg1Kirim repo dengan .claude-plugin/marketplace.json dan kami akan mencantumkan setiap plugin.
Kirim marketplaceCI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management
Kubernetes manifest generation, networking configuration, security policies, observability setup, GitOps workflows, and auto-scaling
Git workflow automation, pull request enhancement, and team onboarding processes
A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code
Turn a tangled working tree into a clean, reviewable commit series. Three deterministic stdlib scripts over git: a series planner that groups changes into commits in build-safe order (manifest with lockfile, pure moves, formatting, each module's change with its tests, docs, CI), holds back .env and key files, and flags mixed formatting and moves whose callers would break; a secret gate that scans staged or pushed lines for provider tokens, high-entropy secrets, sensitive files and conflict markers and blocks before the commit exists, with redacted output and reasoned waivers; and a message linter that blocks vague subjects, missing why on large changes and pending fixup commits, matching the repo's own convention. Ships pre-commit, commit-msg and pre-push hooks, cs-commit-craft agent, /cs-commit-craft and /cs-commit-check commands and 3 cited references.
Personal Corp framework: run your business with AI agents through GitHub. Includes planning, retro, GitHub ops, department repositories, safe public artifact releases, Telegram and agent-gateway workflows, meeting copilot, html-draft diagrams, media/art-direction workflows, and utility skills.
Digital forensics and incident response framework with 14 specialized agents covering target profiling, evidence acquisition, log/memory/container/cloud analysis, IOC extraction, and reporting.
Security-focused differential review of code changes with git history analysis and blast radius estimation
Production-ready Git workflow automation for pull requests, releases, QA, code review, and local notifications
Evaluate prompts and skills through parallel execution comparison in git worktrees
Run Claude autonomously for 6-8 hours overnight using Git hooks that enforce TDD - wake up to fully tested features
GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments
Spec-driven development and context engineering for AI coding agents, backed by project context in Git.
Security find-and-fix loop — adapted (Apache-2.0) from anthropics/defending-code-reference-harness and generalised to all vulnerability classes. Four read/write-only skills (no target-code execution): threat-model (bootstrap from code+CVEs+git-history, or interview an owner via Shostack's four questions, or both -> THREAT_MODEL.md), vuln-scan (static source review, parallel per-focus-area subagents -> VULN-FINDINGS.json), triage (adversarial N-vote verification, 16 false-positive exclusion rules, root-cause dedup, impact-on-asset x exploitability severity with stated deployment conditions, owner routing, checkpoint/resume -> TRIAGE.json), and patch (root-cause candidate diffs + independent reviewer, fix-first priority for deployment-conditional dangerous primitives, never auto-applied -> PATCHES/). The autonomous C/C++ + AddressSanitizer execution pipeline this was extracted from is referenced, not bundled (vuln-scan/HARNESS.md).
securityInfrastructure and DevOps specialists for AWS, GCP, Kubernetes, Docker, Terraform, GitHub Actions, GitLab CI, and security auditing.
Author and operate GitHub Copilot customization itself: skills, agents, instructions, prompts, memory, harness engineering, CLI onboarding, Copilot Spaces, usage metrics, and LSP setup.
Run day-to-day Git and GitHub workflows: conventional commits and branches, issue and release management, pull request review loops, dashboards, Dependabot, and contribution guardrails.
Open Horizons agentic DevOps platform toolkit for Azure, AKS, Backstage, AEG, GitHub, Azure DevOps, Terraform, security, reliability, architecture, and deployment operations. Use it to install specialist agents, reusable skills, safety hooks, MCP integrations, and a safe publisher for repository customizations.
Drive work from written specifications: author and update spec files, derive GitHub issues and epics, break down features and test plans, write product requirements, and refine a request before implementation.
