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existential-birds/beagle

54 skills · 5,876 total installs

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$npx skills add existential-birds/beagle
SkillInstalls
langgraph-code-reviewReviews LangGraph code for bugs, anti-patterns, and improvements.882langgraph-architectureGuides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing…278adr-writingUse when writing or formatting an ADR document using the MADR template, applying Definition of Done (E.C.A.D.R.) criteria, or verifying ADR completeness.233pydantic-ai-common-pitfallsAvoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.220pydantic-ai-agent-creationCreate PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration.217agent-architecture-analysisUse when auditing an agent codebase against the 12-Factor Agents methodology, reviewing LLM-powered system architecture, or assessing agentic app compliance.191review-verification-protocolMandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.179langgraph-implementationImplements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling…161pydantic-ai-tool-systemRegister and implement PydanticAI tools with proper context handling, type annotations, and docstrings.160deepagents-architectureGuides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing…151pydantic-ai-testingTest PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots.147pydantic-ai-dependency-injectionImplement dependency injection in PydanticAI agents using RunContext and deps_type.140docs-styleCore technical documentation writing principles for voice, tone, structure, and LLM-friendly patterns. Use when writing or reviewing any documentation.137deepagents-implementationImplements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting…131adr-decision-extractionUse when you need to mine a conversation, session transcript, or design discussion for architectural decisions before writing ADRs.126deepagents-code-reviewReviews Deep Agents code for bugs, anti-patterns, and improvements.122pydantic-ai-model-integrationConfigure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI.121llm-judgeUse when comparing two or more code implementations against a spec or requirements doc.120explanation-docsExplanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do.119llm-artifacts-detectionDetects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns.117review-skill-improverAnalyzes feedback logs to identify patterns and suggest improvements to review skills.110howto-docsHow-To guide patterns for documentation - task-oriented guides for users with specific goals.108review-feedback-schemaSchema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.108receive-feedbackProcess external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool.106vercel-ai-sdkVercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI.102reference-docsReference documentation patterns for API and symbol documentation. Use when writing reference docs, API docs, parameter tables, or technical specifications.96humanize-beagleRewrite AI-generated developer text to sound human — fix inflated language, filler, tautological docs, and robotic tone.72review-llm-artifactsDetects common LLM coding agent artifacts across four categories (tests, dead code, abstraction, style) over the project or changed files — using parallel…61review-planReview implementation plans for parallelization, TDD, types, libraries, and security before execution61fetch-pr-feedbackFetch unresolved review comments from a PR and evaluate with receive-feedback skill57draft-docsGenerate first-draft technical documentation from code analysis56prompt-improverOptimize prompts for code-related tasks following prompt-engineering best practices.55skill-builderCreate Agent Skills with best practices, structure, validation, and testing. Use when designing or refining skills, prompts, references, or supporting files.55brainstorm-beagleUse when the user has a fuzzy idea and wants to shape it into a concrete project spec before planning or building.53commit-pushcommit and push all local changes to remote repo52create-prcreate a pull request with standardized description template51fix-llm-artifactsApplies fixes from a prior review-llm-artifacts run, with safe/risky classification. Respects verify-llm-artifacts output when present to skip false positives.51gen-release-notesgenerate release notes for changes since a given tag51improve-docAnalyze and improve existing documentation using Diataxis principles51ensure-docsVerify documentation coverage and generate missing docs interactively50respond-pr-feedbackRespond to review comments on a PR after evaluation and fixes49strategy-interviewUse when the user wants to build or think through a strategy via guided conversation \u2014 for a company, product, team, career, or initiative.47strategy-reviewUse when reviewing, critiquing, or stress-testing an existing strategy document.47write-adrUse when you want to generate Architecture Decision Records from this session.46web-researchUse when the user wants web research: gathering cited, multi-angle evidence on a specific question.43artifact-analysisUse when the user wants a cited, structured read of local documents and project knowledge.37resolve-beagleUse as the follow-up to brainstorm-beagle when a spec has an Open Questions section (or quietly carries latent gaps) that need closing before planning or…37prfaq-beagleUse when the user wants to pressure-test a product, internal-tool, or OSS concept against Amazon's Working Backwards PRFAQ gauntlet before committing to a…36write-planUse when you have a finalized brainstorm-beagle spec at `.beagle/concepts/<slug>/spec.md` and need a bite-sized, TDD-driven implementation plan before any code…36verify-llm-artifactsConfirms or rejects findings from review-llm-artifacts before deletes or risky refactors. Loads review-verification-protocol-style checks per finding.35subagent-promptProduce a comprehensive prompt that hands off the current session's work to a fresh session for sub-agent-orchestrated execution.33review-structureRepo-wide structural-maintainability review — code-judo restructurings, 1k-line file guard, anti-spaghetti branching, canonical-layer enforcement, anti-magic…29review-skillReviews PRs that add or modify Agent Skills, checking structural validity, design quality, and marketplace consistency.27quick-planUse when you need a bite-sized, TDD-driven implementation plan but do NOT have a brainstorm-beagle spec to plan against.16