12,427 skills found · Page 79 of 415
wanshuiyin / keenable-searchKeyless web search and page fetch via Keenable
wanshuiyin / paper-compileCompile LaTeX paper to PDF, fix errors, and verify output
wanshuiyin / auto-review-loopAutonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it uses Codex, while explicit external reviewer overrides remain available.
wanshuiyin / prior-art-searchSearch patent databases and academic literature for prior art relevant to an invention
wanshuiyin / proof-checkerRigorous mathematical proof verification and fixing workflow. Reads a LaTeX proof, identifies gaps via cross-model review (external reviewer backend, ultra reasoning), fixes each gap with full derivations, re-reviews, and generates an audit report
wanshuiyin / claims-draftingDraft patent claims for an invention
wanshuiyin / novelty-checkVerify research idea novelty against recent literature
wanshuiyin / comm-lit-reviewCommunications-domain literature review with Claude-style knowledge-base-first retrieval
wanshuiyin / auto-paper-improvement-loopAutonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds
wanshuiyin / paper-writingWorkflow 3: Full paper writing pipeline that goes from a narrative report to a polished, submission-ready PDF
wanshuiyin / proof-writerWrites rigorous mathematical proofs for ML/AI theory
wanshuiyin / research-litSearch and analyze research papers, find related work, summarize key ideas
wanshuiyin / patent-novelty-checkAssess patent novelty and non-obviousness against prior art
wanshuiyin / system-profileProfile a target (script, process, GPU, memory, interconnect) for performance analysis
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.
