Claude Configs
CLAUDE.md project files and Claude Code slash commands
Showing 8,041–8,100 of 12,600 skills · Page 135 of 210
BankrBot / stakr-protocol
1.2kInteract with the Stakr protocol — ERC-4626 vaults with multi-reward staking
BankrBot / trails
1.2kname: trails description: Trails — Cross-chain swap, bridge, and DeFi orchestration via Sequence. Use when an agent wants to swap tokens across chains, bridge assets, fund a Bankr wallet from any chain, deposit into yield vaults (Aave, Morpho), get token prices, discover earn pools, or quote cross-c…
fy-agent / trellis-check
1.2kComprehensive quality verification: spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks
fy-agent / trellis-finish-work
1.2kWrap up the current session: verify quality gate passed, remind user to commit, archive completed tasks, and record session progress to the developer journal
yuezhiai / openkb-html-critic
1.2kUse to review a generated HTML deck or single-page artifact for visual quality and structural correctness. Especially good at catching CSS specificity bugs where slide-modifier classes (.divider, .center, .q, .flow etc.) accidentally override the base .slide{display:none} and cause one slide to stac…
xuzhougeng / agent-infini
1.2kUse the InfiniSynapse CLI (`agent_infini`) for multi-turn AI data-analysis tasks, database/RAG context, and task workspace files
xuzhougeng / pdf-explore
1.2kUse this skill when the user has attached a PDF, paper, report, or other document and the answer needs its content: summarize a section, compare sections, read specific pages, check the table of contents, or read a value off a figure.
brycewang-stanford / acl-artifact-evaluation
1.2kUse when packaging code, datasets, prompts, model outputs, or annotation materials for an ACL submission under ACL Rolling Review, covering anonymized supplement archives, scientific-artifact items of the Responsible NLP checklist, licensing and intended-use documentation, data statements, and post-…
brycewang-stanford / acl-experiments
1.2kUse when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expecta…
brycewang-stanford / acl-related-work
1.2kUse when positioning an ACL submission against the NLP literature, covering ACL Anthology citation practice, arXiv-versus-published version citation, concurrent LLM-era preprints, prior-cycle ARR resubmission overlap, anonymity-preserving self-citation, and the fast-moving baseline problem in comput…
brycewang-stanford / acl-reproducibility
1.2kUse when strengthening reproducibility evidence for an ACL paper reviewed through ACL Rolling Review, covering the Responsible NLP checklist end to end, hyperparameter and compute reporting, prompt and decoding disclosure for LLM experiments, data contamination auditing, variance across runs, and ch…
brycewang-stanford / acl-supplementary
1.2kUse when organizing appendices and supplementary material for an ACL paper under ACL Rolling Review, covering the mandatory Limitations and optional ethics sections, appendices after references, anonymized software and data archives, the no-cloud-links rule, and deciding what must stay in the 8-page…
brycewang-stanford / acl-writing-style
1.2kUse when revising an ACL paper for computational-linguistics house style, covering task-first framing, linguistic examples tied to quantitative error analysis, scoping language claims to tested languages, LLM-era claim discipline, anonymous self-reference, Limitations prose, and compressing into the…
brycewang-stanford / acmmm-artifact-evaluation
1.2kUse when packaging code, models, datasets, or media as ACM MM (ACM Multimedia) artifacts — building the anonymous review package versus the public release, and choosing between the Open Source Software Competition, the Dataset track, the Reproducibility track, and main-track supplementary evidence,…
brycewang-stanford / acmmm-camera-ready
1.2kUse when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poste…
brycewang-stanford / acmmm-experiments
1.2kUse when designing or auditing the experiments of an ACM MM (ACM Multimedia) paper — matched baselines per modality, ablations that isolate the cross-modal fusion, user studies or QoE measurement where the claim is subjective, dataset and media licensing, and honest compute reporting, so evidence su…
brycewang-stanford / acmmm-related-work
1.2kUse when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM paper…
brycewang-stanford / acmmm-reproducibility
1.2kUse when strengthening the reproducibility of an ACM MM (ACM Multimedia) paper or preparing for the ACM MM Reproducibility track and ACM artifact badging — capturing environments, media/data access, seeds, and multimodal pipelines so an independent reviewer can rebuild results and reach Artifacts Ev…
brycewang-stanford / acmmm-review-process
1.2kUse when reasoning about the ACM MM (ACM Multimedia) review pipeline — thematic-area routing to reviewers and area chairs, the OpenReview double-blind process and its single-blind track exceptions, the optional anonymous rebuttal, the meta-review and decision, and the oral/poster and award tiers, an…
brycewang-stanford / acmmm-supplementary
1.2kUse when organizing the ACM MM (ACM Multimedia) supplementary material due after the paper deadline — deciding what belongs in the 6-8 page body versus the supplement, packaging video/audio/interactive demos that render on a reviewer's machine, keeping all assets anonymous for double-blind tracks, a…
brycewang-stanford / acmmm-workflow
1.2kUse when planning the end-to-end ACM MM (ACM Multimedia) campaign calendar — from thematic-area scoping and track choice, through the April OpenReview abstract/paper/supplement chain, the June anonymous rebuttal, the July decision, the August camera-ready, and the November presentation in Rio, with…
brycewang-stanford / acmmm-writing-style
1.2kUse when revising an ACM MM (ACM Multimedia) paper for house style — putting the cross-modal contribution on the first page, framing media (figures, video, audio) as evidence rather than decoration, making the fusion the visible claim, and compressing the argument into a 6-8 page ACM sigconf body wi…
brycewang-stanford / aeri-rebuttal
1.2kUse when responding to an American Economic Review: Insights (AER: Insights) conditional-accept decision — addressing the editor's letter within the short window, usually without a second referee round.
brycewang-stanford / ase-author-response
1.2kUse when drafting ASE (IEEE/ACM Automated Software Engineering) author responses, covering the double-anonymous rebuttal that must first survive the early-rejection gate and — distinctively — the criteria-bound revision-round summary-of-changes that maps every stated revision criterion to a concrete…
brycewang-stanford / ase-camera-ready
1.2kUse when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra content page, the mandatory Data Availability finalization, the correct IEEE/ACM template and metadata, permanentized artifact…
brycewang-stanford / ase-experiments
1.2kUse when designing or auditing the evaluation of an ASE (IEEE/ACM Automated Software Engineering) paper, covering real subject systems, fair runnable tool baselines, task-matched effectiveness metrics, ablations that isolate a learned component, oracle and correctness validation, contamination-aware…
brycewang-stanford / ase-related-work
1.2kUse when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.
brycewang-stanford / ase-workflow
1.2kUse when planning an ASE (IEEE/ACM Automated Software Engineering) research-track campaign backward from the deadline, through abstract registration, the double-anonymous submission, the early-rejection gate, rebuttal, the criteria-bound revision round, artifact evaluation, and the camera-ready in b…
brycewang-stanford / atc-artifact-evaluation
1.2kUse when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available, Artifacts Functional, and Results Reproduced badges from the Artifact Evaluation Committee on its separate post-acceptance dead…
brycewang-stanford / atc-camera-ready
1.2kUse when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the shepherd's required revisions, permanentizing artifact links, completing ACM Open Access metadata and the transition APC, a…
brycewang-stanford / atc-experiments
1.2kUse when designing or auditing the evaluation of an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — matching evidence to the claim with real testbeds, fair baselines, end-to-end plus microbenchmark results, tail-latency and variance reporting, workload realism, and…
brycewang-stanford / atc-supplementary
1.2kUse when deciding what belongs in the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) two-page extended abstract, the 12-page paper body, the optional appendix, and the artifact — splitting content by review round and decision-criticality so nothing that decides acceptance lives wh…
brycewang-stanford / atc-workflow
1.2kUse when planning an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) campaign end to end — running the year backward from the early-June deadline through the two review rounds, the rebuttal, conditional-acceptance shepherding, the post-acceptance artifact evaluation, and the ACM Op…
brycewang-stanford / amr-rebuttal
1.2kUse when writing the response document for an Academy of Management Review (AMR) Revise & Resubmit — structuring point-by-point replies that show the theory was genuinely strengthened, not just defended.
brycewang-stanford / amr-tables-figures
1.2kUse when building the conceptual exhibits of an Academy of Management Review (AMR) manuscript — process models, 2x2 typologies, multi-level frameworks, and propositions tables that carry theoretical work.
fcakyon / create-pr
1.2kThis skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".
matlab / building-simulink-models
1.1kBuilds and edits Simulink, System Composer, Stateflow, and Simscape models
matlab / configuring-block-policy
1.1kGuide users through creating and managing .satk/block-policy.json for controlling which blocks the agent can use, which are excluded, and which block parameters the agent should not modify
matlab / specifying-plant-models
1.1kSpecify plant models for closed-loop simulation: system specs, architecture, build plans, validation plans
MoizIbnYousaf / curate-a-team-library
1.1kUse when building a managed team skills library for a real stack. Map work to shelves, browse before curating, write meaningful `whyHere` notes, and create a starter pack once the first pass is solid.
MoizIbnYousaf / migrate-skills-between-libraries
1.1kUse when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
gamedev-skills / unity-build-pipeline
1.1kBuild and ship Unity 6.3 LTS players: build settings and scenes, player/quality settings, the IL2CPP vs Mono scripting backend, managed code stripping, scripted BuildPipeline.BuildPlayer, and CI/headless builds
gamedev-skills / unity-tilemap-2d
1.1kBuild and script 2D tilemaps in Unity 6.3 LTS: the Grid + Tilemap components, the Tile Palette, tilemap colliders, rule tiles, and runtime SetTile/GetTile painting
gamedev-skills / unreal-enhanced-input
1.1kSet up player input in Unreal Engine 5 with Enhanced Input: Input Actions, Input Mapping Contexts, modifiers and triggers, adding the mapping context, and binding actions by ETriggerEvent
gamedev-skills / unreal-packaging
1.1kPackage and ship an Unreal Engine 5 project: the Platforms menu Package Project flow, build configurations (Development vs Shipping), cooking content, packaging settings and the Game Default Map, and command-line builds with RunUAT BuildCookRun
TencentCloudBase / cloudbase-code-review
1.1kCode review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls — auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse.
TencentCloudBase / spec-workflow
1.1kUse when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.
adithya-s-k / manimgl-best-practices
1.1kTrigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns.
higgsfield-ai / higgsfield-soul-id
1.1kTrain a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation.
BagelHole / ai-pipeline-orchestration
1.1kOrchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.
BagelHole / ai-sre-incident-response
1.1kBuild AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
BagelHole / llm-caching
1.1kImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.
BagelHole / llm-cost-optimization
1.1kReduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
BagelHole / azure-devops
1.1kSet up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services
BagelHole / circleci
1.1kConfigure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance
BagelHole / github-actions
1.1kBuild, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery
BagelHole / container-registries
1.1kManage container registries including ECR, ACR, GCR, and Docker Hub. Push and pull images, configure authentication, set up repository policies, and implement image lifecycle management
BagelHole / docker-compose
1.1kDefine and run multi-container Docker applications using Docker Compose. Create compose files, manage service dependencies, configure networks and volumes, and orchestrate local development environments
BagelHole / docker-management
1.1kBuild, optimize, and troubleshoot Docker containers and images. Create efficient Dockerfiles, manage container lifecycle, configure networking and volumes, and debug container issues
BagelHole / podman
1.1kManage containers using Podman, the daemonless container engine. Run rootless containers, create pods, manage images, and use Docker-compatible commands