12,209 skills found · Page 75 of 407
AgriciDaniel / seo-sitemapAnalyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure
AgriciDaniel / seo-sxoDiagnose search-experience and intent mismatches using SERP page types, user stories, and persona scoring
AgriciDaniel / seo-firecrawlFull-site crawling, scraping, and site mapping via Firecrawl MCP
AgriciDaniel / seo-localAudit local SEO, including Google Business Profile, NAP consistency, citations, reviews, local schema, location pages, and multi-location structure.
AgriciDaniel / seo-flowFLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0)
AgriciDaniel / seo-pageAnalyze one supplied URL across on-page, content, technical metadata, schema, images, and performance. Use only for a single-page review.
AgriciDaniel / seo-programmaticProgrammatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention
AgriciDaniel / seo-matomoMatomo Reporting API extension. Self-hosted or Matomo Cloud analytics as a GA4 alternative or complement. Organic traffic, landing pages, device / country breakdowns, referrers, search keywords.
AgriciDaniel / seo-planStrategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap
NVIDIA / skill-inspectorReview AI agent skills before installation using NVIDIA SkillSpector and source-aware semantic review
muratcankoylan / advanced-evaluationThis skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.
muratcankoylan / bdi-mental-statesThis skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.
muratcankoylan / context-degradationThis skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.
muratcankoylan / context-optimizationThis skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.
muratcankoylan / evaluationThis skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.
muratcankoylan / filesystem-contextThis skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.
muratcankoylan / multi-agent-patternsThis skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.
muratcankoylan / context-compressionThis skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.
muratcankoylan / long-horizon-promptingThis skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting o…
muratcankoylan / memory-systemsThis skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection.
muratcankoylan / project-developmentThis skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured o…
muratcankoylan / self-improvement-loopsThis skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent…
muratcankoylan / self-managed-contextThis skill should be used when a model gets read-write control over its own live context window instead of a harness-scheduled compaction policy: the context exposed as an editable file the model rewrites with code tools, model-driven eviction and in-place updates, the harness invariants that keep s…
muratcankoylan / context-fundamentalsThis skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpr…
muratcankoylan / harness-engineeringThis skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and editable surfaces, durable logs, novelty gates, pruning, rollback, PR preparation, and human approval boundaries.
muratcankoylan / hosted-agentsThis skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.
muratcankoylan / latent-briefingThis skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator worker context\", \"latent briefing\", \"reduce worker tokens\", \"cross-agent memory without summarization\", or discusses Attention Matching compaction, recursiv…
wanshuiyin / kill-argumentTwo-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues
wanshuiyin / citation-auditZero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations
wanshuiyin / experiment-auditAudit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope
