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Agent skills
gemini-cli

Topic: gemini-cli

5,463 skills in this topic.

csv-wave-pipeline Requirement planning to wave-based CSV execution pipeline. Decomposes requirement into dependency-sorted CSV tasks, computes execution waves, runs wave-by-wave via spawn_agents_on_csv with cross-wave context propagation.
catlog22/Claude-Code-Workflow 1,785
team-coordinate Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on "Team Coordinate ".
catlog22/Claude-Code-Workflow 1,785
team-uidesign Unified team skill for UI design team. Research -> design tokens -> audit -> implementation. Uses team-worker agent architecture with roles/ for domain logic. Coordinator orchestrates dual-track pipeline with GC loops and sync points. Triggers on "team ui design", "ui design team".
catlog22/Claude-Code-Workflow 1,785
team-quality-assurance Unified team skill for quality assurance. Full closed-loop QA combining issue discovery and software testing. Triggers on "team quality-assurance", "team qa".
catlog22/Claude-Code-Workflow 1,785
team-ui-polish Unified team skill for UI polish. Auto-discover and fix UI design issues using Impeccable design standards. Anti-AI-slop detection, color/typography/spacing quality, motion, interaction states, visual hierarchy. Uses team-worker agent architecture. Triggers on "team ui polish", "ui polish", "design polish".
catlog22/Claude-Code-Workflow 1,785
team-testing Unified team skill for testing team. Progressive test coverage through Generator-Critic loops, shared memory, and dynamic layer selection. Triggers on "team testing".
catlog22/Claude-Code-Workflow 1,785
clean Intelligent code cleanup with mainline detection, stale artifact discovery, and safe execution. Supports targeted cleanup and confirmation.
catlog22/Claude-Code-Workflow 1,785
roadmap-with-file Strategic requirement roadmap with iterative decomposition and issue creation. Outputs roadmap.md (human-readable, single source) + issues.jsonl (machine-executable).
catlog22/Claude-Code-Workflow 1,785
skill-simplify SKILL.md simplification with functional integrity verification. Analyze redundancy, optimize content, check no functionality lost. Triggers on "simplify skill", "optimize skill", "skill-simplify".
catlog22/Claude-Code-Workflow 1,785
team-review Unified team skill for code review. 3-role pipeline: scanner, reviewer, fixer. Triggers on team-review.
catlog22/Claude-Code-Workflow 1,785
skill-tuning Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Gemini CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill diagnosis", "optimize skill", "skill debug".
catlog22/Claude-Code-Workflow 1,785
worktree 创建 Git worktree 用于隔离开发新功能或修复 bug。自动处理分支创建、worktree 设置、目录切换和开发环境初始化。
AgentsMesh/AgentsMesh 1,428
merge 将当前分支合并到目标分支（通常是 main）。自动处理代码提交、创建 MR、监控 Pipeline、处理错误直到合并成功。
AgentsMesh/AgentsMesh 1,428
gl-gh-sync 在 GitLab（内部）和 GitHub（开源）之间双向同步代码。自动检测哪边有新提交，fast-forward 场景直接推送，分叉场景走 PR/MR 流程。
AgentsMesh/AgentsMesh 1,428
gh-merge 将当前分支合并到 GitHub 目标分支（通常是 main）。自动处理代码提交、创建 PR、监控 CI Checks、处理错误直到合并成功。
AgentsMesh/AgentsMesh 1,428
e2e 执行 E2E 测试用例。根据测试用例的验证类型（ui/api/database）选择正确的工具执行验证。
AgentsMesh/AgentsMesh 1,428
am-delegate
AgentsMesh/AgentsMesh 1,428
autoresearch Autonomous goal-directed iteration for Gemini CLI. Inspired by Karpathy's autoresearch. Use when asked to run autoresearch, iterate overnight, or autonomously improve any measurable goal. Loops forever: modify → verify → keep/revert → log → repeat. Never stops until interrupted. Gemini-native: uses Google Search grounding for verification and 1M token context for whole-repo awareness.
supratikpm/gemini-autoresearch 28
ctf-pwn Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as buffer overflows, format strings, heap bugs, ROP, ret2libc, shellcode, kernel exploitation, seccomp bypass, sandbox escape, or Windows/Linux exploit chains. Do not use it when the main blocker is understanding what the binary does; use reverse engineering first. Do not use it for pure web bugs, disk or packet forensics, or standalone crypto/math challenges.
ljagiello/ctf-skills 1,333
ctf-osint Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.
ljagiello/ctf-skills 1,333
ctf-misc Provides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jails, RF/SDR, DNS oddities, unicode tricks, esoteric languages, QR or audio puzzles, constraint solving, game theory, unusual sandbox escapes, and hybrid logic puzzles. Prefer a more specific skill first when the challenge is mainly web, pwn, reverse, forensics, malware, OSINT, or crypto. Treat this as the fallback skill for genuine cross-category or edge-case challenges, not the default starting point.
ljagiello/ctf-skills 1,333
ctf-malware Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.
ljagiello/ctf-skills 1,333
ctf-forensics Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-channel power traces, DTMF audio spectrograms, packet timing analysis, CD audio disc images, or recovering deleted files and credentials.
ljagiello/ctf-skills 1,333
ctf-crypto Provides cryptography attack techniques for CTF challenges. Use when attacking encryption, hashing, signatures, ZKP, PRNG, or mathematical crypto problems involving RSA, AES, ECC, lattices, LWE, CVP, number theory, Coppersmith, Pollard, Wiener, padding oracle, GCM, key derivation, or stream/block cipher weaknesses.
ljagiello/ctf-skills 1,333