Loading...
Loading...
Found 1,747 Skills
Use when evaluating AI tools and agentic workflows against workflow gaps, when conducting quarterly landscape scans, or when assessing integration feasibility of new tools for startup workflows.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Apply principles of good design taste when creating, reviewing, or critiquing any creative or technical work. Use this skill whenever the user asks you to design something, review a design, create UI/UX, architect a system, write something with aesthetic intent, evaluate the quality of code or creative work, or asks for feedback on whether something is "good." Also trigger when users mention taste, aesthetics, beauty in design, elegance, simplicity, or when they want help making something not just functional but genuinely well-crafted. This skill applies across domains: software, writing, visual design, architecture, presentations, APIs, data models, and more. Even if the user doesn't explicitly mention "design," use this skill when the underlying task is about making something better, more elegant, or more refined.
Prepare context for new conversations when session is lost or ending. Creates handoff documents that capture current state, progress, and next steps for seamless continuation.
Use when seeking analogous solutions from other domains, when stuck on a problem and need fresh perspectives, or when evaluating whether approaches from field X might apply to field Y. Requires structured problem statement.
Generates business/company names across 10 categories (Descriptive, Metaphoric, Invented, Founder-based, Acronym, Compound, Foreign, Playful, Geographic, Legacy) with USPTO trademark screening, domain availability checking, and 0-100 scoring. Use when users need company/product/brand naming for new business launches, rebranding, trademark strategy, IP protection naming, evaluating current name strength, or any naming/branding tasks requiring systematic analysis with legal clearance.
Analyze an influencer's recent content and return a brand safety report flagging political controversy, offensive language, sensitive topics, or past scandal indicators. This skill should be used when screening a creator for brand safety, vetting influencer content for risks, checking if a creator is brand-safe, auditing an influencer's content history for red flags, running a brand safety check on a creator, evaluating creator risk before a partnership, flagging controversial creator content, reviewing an influencer for offensive language or sensitive topics, or doing a pre-campaign safety review. For holistic creator evaluation including performance metrics, see creator-vetting-scorecard. For writing campaign briefs with content guidelines and safety clauses, see campaign-brief-generator.
Score each creator on a completed campaign across consistency, content quality, engagement rate, and brand alignment, then produce a ranked retention list for future campaigns. This skill should be used when grading creators after a campaign ends, evaluating influencer performance post-campaign, ranking creators by campaign performance, building a retention list of top creators, deciding which creators to rebook for the next campaign, scoring influencer deliverables after a launch, comparing creator performance across a campaign roster, auditing which creators delivered the most value, or tiering creators into re-engage versus one-and-done lists. For calculating engagement rates and benchmarking them by tier, see engagement-rate-calculator-benchmarker. For scoring niche fit before a campaign, see niche-fit-scorer. For building the full campaign report with ROI narrative, see campaign-roi-calculator-narrative-builder.
Estimate fair market rates for creator partnerships based on platform, follower count, engagement rate, niche, and deliverable type. This skill should be used when estimating influencer rates, calculating creator pricing, building a rate card for a campaign, checking if a creator's rate is fair, comparing influencer costs across platforms, budgeting for a creator campaign, evaluating a creator's rate card, figuring out how much to pay an influencer, benchmarking creator rates against market data, or assessing whether a creator is overcharging. For negotiating rates after estimation, see rate-negotiation-playbook. For full creator vetting beyond pricing, see creator-vetting-scorecard.
Evaluate whether a development ticket (user story, feature request, bug report, etc.) is ready for development, and provide specific, actionable feedback if it is not. Use this skill whenever the user asks to triage, evaluate, assess, review, or check the readiness of a ticket, story, issue, or work item. The ticket can come from anywhere: pasted inline, read from a file, fetched from Jira or another tracker via MCP, or any other source. Also use this when a user asks "is this ticket ready?" or "what's wrong with this ticket?" or wants to improve a ticket's specification.
Nonprofit fundraising performance analysis with donor segmentation, campaign ROI, retention metrics, and trend analysis. Use when evaluating fundraising effectiveness, analyzing donor data, or planning campaigns.
Evaluates and optimizes agent skills using a DSPy-powered GEPA (Generate/Evaluate/Propose/Apply) loop. Loads scenario YAML files as DSPy datasets, scores outputs with pattern-matching metrics, and optimizes prompts via BootstrapFewShot or MIPROv2 teleprompters. Also generates new scenario YAML files from skill descriptions.