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Agent Skills catalog · page 156

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Computed 9152

adriannoes/awesome-agentic-ai

performing-automated-malware-analysis-with-cape

Deploy and operate CAPEv2 sandbox for automated malware analysis with behavioral monitoring, payload extraction, configuration parsing, and anti-evasion capabilities.

Computed 9152

adriannoes/awesome-agentic-ai

performing-sca-dependency-scanning-with-snyk

This skill covers implementing Software Composition Analysis (SCA) using Snyk to detect vulnerable open-source dependencies in CI/CD pipelines. It addresses scanning package manifests and lockfiles, automated fix pull request generation, license compliance checking, continuous monitoring of deployed applications, and integration with GitHub, GitLab, and Jenkins pipelines.

Computed 9152

adriannoes/awesome-agentic-ai

performing-threat-hunting-with-yara-rules

Use YARA pattern-matching rules to hunt for malware, suspicious files, and indicators of compromise across filesystems and memory dumps. Covers rule authoring, yara-python scanning, and integration with threat intel feeds.

Computed 9152

griffinwork40/agent-afk

shadow-verify

Dispatch a parallel adversarial verifier wave after any high-stakes sub-agent investigation (code reviews, audits, findings reports, large refactors, gap analyses) — or whenever a sub-agent asserts a claim with high-confidence language ("confident", "certain", "clearly", ≥80%), since confidence is a trigger, not a verdict. Shadow verifiers independently re-derive 2–3 key claims from scratch using tool calls only, returning CONFIRMED/REFUTED/STALE/UNVERIFIABLE, and flag disagreements before the u

Computed 9152

adriannoes/awesome-agentic-ai

verifying-build-provenance-with-slsa-sigstore

Verify signed artifacts and SLSA build provenance with Sigstore cosign and slsa-verifier, enforce keyless OIDC identity, and apply SLSA Build levels to harden the software supply chain.

Computed 9152

adriannoes/awesome-agentic-ai

writing-skills

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Computed 9751

rjwalters/kicad-tools

repo

General repository hygiene and environment tools — audits, cleanup, branch/worktree pruning, link checking, and cloud dev sessions

Computed 9751

rjwalters/kicad-tools

Repo Skills

General repository hygiene and environment tools — audits, cleanup, branch/worktree pruning, link checking, and cloud dev sessions

Computed 9551

dembrandt/dembrandt-skills

component-family-consistency

Buttons, inputs, pills, badges, calendars, and other interactive components form a visual family — they share the same border-radius, colour logic, shadow scale, border style, and spacing rhythm. Inconsistency between them breaks the sense of a coherent product. Use when building or reviewing a component library, design system, or any set of UI components.

Computed 9551

dembrandt/dembrandt-skills

modal-and-overlay-patterns

Overlays — modals, drawers, bottom sheets, popovers — interrupt or augment the main flow. Each type has a different scope, blocking level, and appropriate use case. Use when designing dialogs, confirmation prompts, side panels, action sheets, or any UI element that appears above the main content layer.

Computed 9351

dembrandt/dembrandt-skills

algorithmic-color-palette

Derive a full UI colour palette algorithmically from one or two brand colours. Darker and lighter variants for interactive states, desaturated greys from the brand hue for borders and backgrounds, and semantic colours that feel coherent with the brand rather than generic. Use when building a colour system from scratch or expanding a limited brand palette for UI use.

Computed 9151

dembrandt/dembrandt-skills

data-display-and-selection

Complex data deserves multiple view modes — grid, list, table — chosen by the user based on their task. Row and item selection should use large hit areas (the whole row or card, not just a checkbox). Selected state is communicated through a subtle background colour shift. Mass actions appear when items are selected. Use when designing data tables, product listings, file browsers, or any multi-item collection.

Computed 9151

dembrandt/dembrandt-skills

modular-scale-typography

Typography feels cohesive and intentional when font sizes follow a modular scale — a ratio-based sequence where every size is mathematically related to the others. Use when defining type scales, setting up design tokens, reviewing font size choices, or when typography feels inconsistent or arbitrary.

Computed 9650

gke-labs/kube-agents

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.

Computed 9550

baphuongna/pi-crew

distill-persona

Distill a person's (or field's) thinking into a runnable pi skill — research, extract, validate, generate. REQUIRED — read the full skill file first (multi-phase protocol with machine-checked gates); run the validate-run script on <run-dir> before claiming done — ALL-GREEN required.

Computed 9250

baphuongna/pi-crew

iterative-audit

Iterative multi-round codebase audit with diminishing-returns detection. Run 5-20+ rounds, each focusing on one specific area. Built from 19 rounds of dogfooding pi-crew on itself.

Computed 9250

baphuongna/pi-crew

real-test-pi-crew

End-to-end verification for pi-crew changes: fast critical tests, 3-path kill-switch proof, bundle md5 sync, live TUI probing, smoke team runs, and a live feature-action battery (team tool + subagent tools).

Computed 9150

Desko77/claude-code-skills-1c

mermaid-diagrams

Practical guide for creating human-readable and agent-parseable diagrams using Mermaid. Includes conservative, renderer-compatible templates and when-to-use guidance.

Computed 9150

CherryHQ/stella

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Computed 9150

Desko77/claude-code-skills-1c

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Computed 9150

CherryHQ/stella

stella

Self-knowledge about stella, the self-hosted AI assistant. Use when the user asks about stella itself: configuration, setup, onboarding, providers, models, agents, channels (Telegram/Discord/QQ/Feishu/DingTalk/WeChat), webhooks, memory system (LCM), scheduled jobs, reusable workflows, goals (objectives that converge through acceptance), workers/decomposition/dependencies, skills, plugins, session compaction, notifications, self-update, multi-agent, multi-user, or general "how does stella work" /

Computed 9150

gke-labs/kube-agents

submit-suggestion

Propose declarative configuration updates securely by committing file changes and submitting GitHub Pull Requests (PRs) for SRE review. Not for fleet-audit finding fixes — the fleet-audit skill opens and tracks those PRs itself.

Computed 9249

richkuo/rk-skills

fix-pr-review

Use when the user asks to fix, address, or respond to a PR review — "fix the PR review", "address the review comments", "/fix-pr-review". Takes an optional PR number/URL (defaults to the current branch's PR) and an optional `codex` argument, in either order, to select Codex as the review bot (e.g. "/fix-pr-review 123 codex"). Fetches every unaddressed review channel (formal reviews, review-style issue comments, inline diff threads, already-failed CI checks), RE-VALIDATES each finding against the

Computed 9149

richkuo/rk-skills

fix-pr-review-loop

Use when the user asks to fix a PR review and drive it to approval autonomously — "fix the PR review and loop until approved", "fix-pr-review-loop", "keep addressing review comments until this PR is approved", or as the standalone counterpart to work-on-issue-loop's polling/resolving steps for a PR that already exists. Takes an optional PR number/URL (defaults to the current branch's PR). Repeatedly calls fix-pr-review to resolve the latest review, waits for the resulting re-review from the sele