👥 Human Resources
6,440 skills
openclaw/openclaw-parallels-smoke
development
VerifiedTrustedCommunity
End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.
357,764SKILL.mdUpdated Apr 10, 2026
steipete/openclaw-parallels-smoke
development
VerifiedTrustedCommunity
End-to-end Parallels smoke, upgrade, and rerun workflow for OpenClaw across macOS, Windows, and Linux guests. Use when Codex needs to run, rerun, debug, or interpret VM-based install, onboarding, gateway smoke tests, latest-release-to-main upgrade checks, fresh snapshot retests, or optional Discord roundtrip verification under Parallels.
357,588SKILL.mdUpdated Apr 13, 2026
affaan-m/data-scraper-agent
development
VerifiedTrustedCommunity
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
247,258SKILL.mdUpdated Mar 27, 2026
affaan-m/agent-introspection-debugging
development
VerifiedTrustedCommunity
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
240,526SKILL.mdUpdated Apr 15, 2026
mattpocock/teach
tools
VerifiedTrustedCommunity
Teach the user a new skill or concept, within this workspace.
226,844SKILL.mdUpdated Jun 9, 2026
mattpocock/teach
tools
VerifiedTrustedCommunity
Teach the user a new skill or concept, within this workspace.
119,645SKILL.mdUpdated May 28, 2026
nousresearch/unsloth
data-ai
VerifiedTrustedCommunity
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
87,661SKILL.mdUpdated Apr 15, 2026
nousresearch/fine-tuning-with-trl
data-ai
VerifiedTrustedCommunity
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
87,661SKILL.mdUpdated Apr 15, 2026
garrytan/openclaw/skills/gstack-openclaw-office-hours
development
VerifiedTrustedCommunity
--- name: gstack-openclaw-office-hours description: Product interrogation with six forcing questions. Two modes: startup diagnostic (demand reality, status quo, desperate specificity, narrowest wedge, observation, future-fit) and builder brainstorm. Use when asked to brainstorm, "is this worth building", "I have an idea", "office hours", or "help me think through this". Proactively use when user describes a new product idea or wants to think through design decisions before any code is written. v
71,662SKILL.mdUpdated Apr 14, 2026
addyosmani/idea-refine
testing
VerifiedTrustedCommunity
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".
66,825SKILL.mdUpdated Mar 27, 2026
paperclipai/paperclip
tools
VerifiedTrustedCommunity
Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.
63,111SKILL.mdUpdated Apr 10, 2026
paperclipai/paperclip-converting-plans-to-tasks
tools
VerifiedTrustedCommunity
The Paperclip way of converting a plan into executable tasks. Use whenever you are asked to plan, scope, or break down work inside a Paperclip company. Industry-agnostic guidance on how to translate a plan into assigned issues with the right specialty, dependencies, and parallelization so Paperclip's executor can pick up the work — it does not prescribe a plan format. Pair with the `paperclip` skill, which covers the mechanics of writing the plan document and reassigning the issue.
60,342SKILL.mdUpdated Apr 29, 2026
ComposioHQ/lead-research-assistant
development
VerifiedTrustedCommunity
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
46,101SKILL.mdUpdated Mar 19, 2026
ComposioHQ/Lever Automation
tools
VerifiedTrustedCommunity
Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.
46,101SKILL.mdUpdated Mar 19, 2026
coreyhaines31/marketing-plan
tools
VerifiedTrustedCommunity
When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product. Also use when the user mentions "marketing plan," "growth plan," "GTM plan," "go-to-market plan," "AARRR plan," "90-day marketing plan," "12-month marketing roadmap," "fractional CMO plan," or "fCMO plan." Generates an exhaustive 13-section plan structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to the client's current budget, team, and stage, mapped to future funding milestones, cross-referenced with the 139-idea marketing-ideas library and an embedded 17-section current-state audit rubric, with a full marketing operations stack showing which skills and MCP/API integrations execute each part. Outputs a Notion-paste-ready markdown document. For positioning and ICP context before planning, see product-marketing. For stage-specific deep work, see onboarding, signup, emails, referrals, pricing.
45,784SKILL.mdUpdated May 30, 2026
coreyhaines31/community-marketing
development
VerifiedTrustedCommunity
Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase word-of-mouth, drive community-led growth, engage users post-signup, or turn customers into evangelists. Trigger phrases: "build a community," "community strategy," "Discord community," "Slack community," "community-led growth," "brand advocates," "user community," "forum strategy," "community engagement," "grow our community," "ambassador program," "community flywheel."
45,784SKILL.mdUpdated Apr 22, 2026
addyosmani/interview-me
development
VerifiedTrustedCommunity
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.
44,935SKILL.mdUpdated May 17, 2026
wshobson/preference-optimization
development
VerifiedTrustedCommunity
Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.
37,915SKILL.mdUpdated Jul 15, 2026
wshobson/grpo-rlvr-training
tools
VerifiedTrustedCommunity
Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.
37,915SKILL.mdUpdated Jul 15, 2026
patchy631/hugging-face-model-trainer
development
VerifiedTrustedCommunity
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
33,355SKILL.mdUpdated Apr 10, 2026