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OpenClaw skill discovery, security vetting & install. Searches 3000+ curated skills from ClawHub registry and awesome-openclaw-skills catalog. Scores credibility, detects prompt injection & malicious patterns, manages installations. Quick-checks GitHub for new skills.

Maintains a local mirror of Netdata-org source repositories at `${NETDATA_REPOS_DIR}` so AI assistants and developers can do cross-repo grep / code review locally without GitHub API round-trips and rate limits. Ships a vendored sync script (`scripts/sync-netdata-repos.sh`) that updates ~150 repos in two phases (resync existing on default branch, discover and clone new). Safety -- skips repos that have staged or modified changes; otherwise switches to the default branch and recursively updates submodules. Reset-to-default is intentional -- it prevents stale-feature-branch "black hole" repos that confuse cross-repo reasoning. Supports `--repo NAME` (repeatable) to scope to specific repos. Independent from any other repo mirrors this workstation may have. Use when the local mirror is out of date, before a cross-repo grep / review session, when adding a new netdata-org repo (auto-discovered), when an assistant needs cross-repo cognition without `gh` API turnaround.

Extract text from PDFs with OCR support. Perfect for digitizing documents, processing invoices, or analyzing content. Zero dependencies required.

Use Agency CLI to run parallel AI coding tasks in isolated Git worktrees. Invoke when user mentions "agency", "ag", parallel tasks, worktrees, or wants to run multiple coding agents simultaneously.

Self-improving skill that analyzes conversations for corrections and preferences, then persists them to skill files with optional Git versioning. Use when: (1) User runs "/reflect" or "/reflect [skill-name]" to manually extract learnings, (2) User says "reflect on" or "reflect off" to toggle automatic reflection, (3) User says "reflect status" to check mode, (4) User wants Claude to remember corrections for future sessions. Supports manual and automatic (hook-based) modes.

MUST USE when user wants to research/search/look up/find anything on the internet — e.g. "research this topic", "do a deep dive on X", "search the web for X", "see what people say about X", "look this up". Also MUST USE when user mentions any platform or shares any URL/link: Twitter/X, Reddit, Facebook, Instagram, YouTube, GitHub, Bilibili, XiaoHongShu, Xiaoyuzhou Podcast, LinkedIn/jobs/recruiting, V2EX, Xueqiu (stocks), RSS. 15 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: writing reports/analysis/translation (this skill only FETCHES internet content); posting/commenting/liking (write operations); platforms that already have a dedicated skill installed (prefer that skill).

Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync. Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human

Automate common Word/WPS document operations on Windows via COM (read text, replace, insert, headings, headers/footers, page breaks, merge, split, export to PDF/TXT, add/replace images). Use for single-document actions (no batch).

Comprehensive Kubernetes and OpenShift cluster management skill covering operations, troubleshooting, manifest generation, security, and GitOps. Use this skill when: (1) Cluster operations: upgrades, backups, node management, scaling, monitoring setup (2) Troubleshooting: pod failures, networking issues, storage problems, performance analysis (3) Creating manifests: Deployments, StatefulSets, Services, Ingress, NetworkPolicies, RBAC (4) Security: audits, Pod Security Standards, RBAC, secrets management, vulnerability scanning (5) GitOps: ArgoCD, Flux, Kustomize, Helm, CI/CD pipelines, progressive delivery (6) OpenShift-specific: SCCs, Routes, Operators, Builds, ImageStreams (7) Multi-cloud: AKS, EKS, GKE, ARO, ROSA operations

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

Build a rigorous world model with state, dynamics, uncertainty, and provenance. Use when creating digital twins, constructing system representations, building simulation foundations, or establishing baseline world state.

Defines language usage conventions separating user communication from technical artifacts. Use when writing code, documentation, commits, or communicating with users in multilingual projects.

Captures negotiation strategy failures, concession leaks, BATNA weakness, framing misses, objection handling gaps, escalation misalignment, anchor errors, and agreement quality risks for continuous improvement. Use when negotiations stall, concessions exceed guardrails, terms are ambiguous, or recurring bargaining patterns emerge.

Audit and rewrite evaluation/numeric claims to ensure they carry minimal protocol context (task + metric + constraint) and avoid underspecified model naming. **Trigger**: evaluation anchor checker, numeric claim hygiene, underspecified numbers, protocol context, 评测锚点检查, 数字断言, 指标上下文. **Use when**: before final merge/polish, or when reviewers would likely flag claims as underspecified (numbers without task/metric/budget), or `pipeline-auditor` warns about suspicious model naming. **Skip if**: evidence is too thin to justify numeric claims (route upstream to C3/C4), or you are pre-C2 (NO PROSE). **Network**: none. **Guardrail**: do not invent numbers; do not add/remove/move citation keys; if protocol context is missing, weaken/remove the numeric claim rather than guessing.

Catch the deterministic CI failures reachable from your diff before pushing, with `hogli ci:preflight`. Use when the pre-push hook blocks a push, before reporting a task done, or after editing Python, serializers, migrations, workflows, or dependency manifests — to avoid burning a CI matrix on a failure you could catch locally (formatting, lint, broken lockfiles, OpenAPI drift, migration conflict, stale branch). Trigger terms: ci:preflight, preflight, pre-push checks, pre-push hook failed, "will this break CI".

Interview the user relentlessly about a plan, document, content piece, or design until reaching shared understanding and resolving each branch of the decision tree. Use when the user wants to stress-test a plan, get grilled on their design, or says “挑战/拷打这个方案、文档、内容、设计” or “grill me”.

Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

Unified skill management for AI IDEs. Triggers when user wants to manage, sync, install, remove, or organize skills across IDEs. Common triggers include: (1) list/show skills (列出技能, 查看技能, "what skills do I have"), (2) sync skills (同步技能, 将skill同步, "sync to all IDEs", "push skills"), (3) install skills (安装技能, "install from GitHub"), (4) remove/delete skills (删除技能, 移除技能), (5) create new skills (创建技能, 新建skill), (6) validate skills (验证技能, 检查skill格式), (7) export/import profiles (导出技能, 导入配置). Also triggers for: skill management, 技能管理, skill操作. Supports 5 IDEs: Claude Code, Cursor, Codex, Gemini CLI, Antigravity. IMPORTANT: When creating or modifying skills, always follow the guidelines in references/skill-creator/SKILL.md.

Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.

Privacy-respecting web search via SearXNG with DuckDuckGo-style bangs support. Use for web searches when you need to find information online. SearXNG protects privacy by randomizing browser fingerprints, masking IP addresses, and blocking cookies/referrers. Supports 250+ search engines, multiple categories (general, news, images, videos, science), and DuckDuckGo-style bangs for direct engine searches (!w for Wikipedia, !yt for YouTube, !gh for GitHub, !r for Reddit, etc.). Aggregates results from multiple engines simultaneously. Prefer this over external search APIs for privacy-sensitive queries or high-volume searches.