Claude Code Skills · page 45
Individual Claude Code skills mined from every repository in the directory: each SKILL.md, installable with one command, with its full definition and the repository's trust signals.
- wacli1.6k
Send WhatsApp messages to other people or search/sync WhatsApp history via the wacli CLI (not for normal user chats).
trpc-group/trpc-agent-goInstall - weather1.6k
Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.
trpc-group/trpc-agent-goInstall - xurl1.6k
A CLI tool for making authenticated requests to the X (Twitter) API. Use this skill when you need to post tweets, reply, quote, search, read posts, manage followers, send DMs, upload media, or interact with any X API v2 endpoint.
trpc-group/trpc-agent-goInstall - process-builder1.6k
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
a5c-ai/babysitterInstall - agent-dispatch1.6ka5c-ai/babysitterInstall
- code-review-gate1.6k
Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement
a5c-ai/babysitterInstall - feature-intake1.6ka5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- test-automation1.6ka5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- code-review1.6ka5c-ai/babysitterInstall
- prd-creation1.6ka5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- qa-testing1.6ka5c-ai/babysitterInstall
- quick-flow1.6ka5c-ai/babysitterInstall
- sprint-planning1.6ka5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- ux-design1.6ka5c-ai/babysitterInstall
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
a5c-ai/babysitterInstall- code-generation1.6k
Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.
a5c-ai/babysitterInstall Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.
a5c-ai/babysitterInstallRoot cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.
a5c-ai/babysitterInstallStructured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
a5c-ai/babysitterInstall- session-memory1.6k
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
a5c-ai/babysitterInstall Strict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.
a5c-ai/babysitterInstallEvidence requirement enforcement ensuring all claims are backed by logs, test results, or exit codes. Zero = success, non-zero = failure. No guessing allowed.
a5c-ai/babysitterInstall- audit-trail1.6ka5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- epic-generation1.6ka5c-ai/babysitterInstall
- github-sync1.6ka5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
- a5c-ai/babysitterInstall
Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.
a5c-ai/babysitterInstall6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.
a5c-ai/babysitterInstall- codebase-mapping1.6k
Automatic codebase indexing for invisible context injection. Catalogs project structure, file types, entry points, dependencies, and test layout.
a5c-ai/babysitterInstall - file-guard1.6k
PreToolUse protection blocking sensitive file access across 195+ patterns in 12 categories with bash pipeline analysis and multi-tool ignore support.
a5c-ai/babysitterInstall - hook-management1.6k
Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.
a5c-ai/babysitterInstall Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
a5c-ai/babysitterInstall- spec-creation1.6k
Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.
a5c-ai/babysitterInstall - spec-execution1.6k
6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.
a5c-ai/babysitterInstall Capture raw thoughts with automatic domain classification and vault routing
a5c-ai/babysitterInstallGenerate personalized verified news briefs with 7-day freshness and 95%+ source accuracy
a5c-ai/babysitterInstallBuild structured knowledge frameworks from scattered vault notes with source attribution
a5c-ai/babysitterInstallProcess meeting recordings and transcripts into decisions, action items, and team dynamics
a5c-ai/babysitterInstall- cog-onboarding1.6k
Personalize COG Second Brain workflow through role pack selection and vault initialization
a5c-ai/babysitterInstall Cross-reference GitHub, Linear, Slack, and PostHog with bidirectional sync for team briefs
a5c-ai/babysitterInstallSave URLs with auto-extracted insights, credibility scoring, and vault routing
a5c-ai/babysitterInstallCross-domain pattern analysis with personal, professional, and project domain synthesis
a5c-ai/babysitterInstallMulti-dimensional code review across correctness, security, performance, and maintainability with confidence-gated reporting and remediation loops.
a5c-ai/babysitterInstallContext window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning.
a5c-ai/babysitterInstallPattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
a5c-ai/babysitterInstall- eval-harness1.6k
Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.
a5c-ai/babysitterInstall PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.
a5c-ai/babysitterInstallResearch-first development methodology that investigates existing solutions, brainstorms alternatives, and evaluates trade-offs before any implementation begins.
a5c-ai/babysitterInstallAgentShield security audit with 5 scanning categories, 102 static analysis rules, and optional red-team simulation.
a5c-ai/babysitterInstall- tdd-enforcement1.6k
Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.
a5c-ai/babysitterInstall Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
a5c-ai/babysitterInstallCreate, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.
a5c-ai/babysitterInstallAuthor TOML-based Formula workflow templates that become Protomolecules and active Molecules in Gas Town's durable workflow system.
a5c-ai/babysitterInstall- issue-tracking1.6k
Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.
a5c-ai/babysitterInstall - merge-queue1.6k
Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.
a5c-ai/babysitterInstall Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.
a5c-ai/babysitterInstallManage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.
a5c-ai/babysitterInstallDecompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.
a5c-ai/babysitterInstallYAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
a5c-ai/babysitterInstall- git-integration1.6k
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitterInstall - gsd-tools1.6k
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitterInstall Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitterInstallRoadmap parsing, analysis, and mutation operations for ROADMAP.md. Handles phase and milestone lifecycle including add, insert (decimal), remove, complete, and requirements coverage analysis.
a5c-ai/babysitterInstall- state-management1.6k
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitterInstall Template loading, variable filling, and scaffolding for all GSD artifacts. Manages 22+ templates covering every document type in the GSD system, from PROJECT.md to milestone archives.
a5c-ai/babysitterInstallPlan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitterInstall- hotfix-triage1.6k
Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes
a5c-ai/babysitterInstall Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph
a5c-ai/babysitterInstallInstall and configure ToolUniverse for any use case — MCP server (chat-based), CLI (command line with 9 subcommands), or Python SDK (Coding API with 3 calling patterns). Covers uv/uvx setup, MCP configuration for 12+ AI clients (Cursor, Claude Desktop, Windsurf, VS Code, Codex, Gemini CLI, Trae, Cline, etc.), full CLI reference (tu list/grep/find/info/run/test/status/build/serve), Coding API quickstart, agentic tools, code executor, API key walkthrough, skill installation, and upgrading. Use when user asks how to set up ToolUniverse, which access mode to use (MCP vs CLI vs SDK), configuring MCP servers, using the CLI, troubleshooting installation, upgrading, or mentions installing ToolUniverse or setting up scientific tools. Also triggers for "how do I use ToolUniverse", "what's the best way to access tools", "command line", "tu command", "coding API", "tu build".
mims-harvard/ToolUniverseInstallSystematic ACMG/AMP germline variant classification with all 28 criteria (PVS1, PS1-4, PM1-6, PP1-5, BA1, BS1-4, BP1-7) for clinical significance. Produces 5-tier verdict (Pathogenic / Likely Pathogenic / VUS / Likely Benign / Benign) with cited evidence per criterion. Use for variant interpretation, VUS resolution, and pathogenicity assessment. Combines ClinVar, gnomAD, computational predictors, and gene-mechanism context.
mims-harvard/ToolUniverseInstallComprehensive ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiling for drug candidates. Integrates ADMET-AI predictions, SwissADME drug-likeness, PubChemTox experimental toxicity, ChEMBL clinical data, Lipinski rule-of-five, and CYP interaction data. Use for drug-likeness assessment, BBB penetration, bioavailability, hepatotoxicity prediction, ADME/PK profiling, or screening compound libraries before lab testing.
mims-harvard/ToolUniverseInstallDetect and analyze adverse drug event signals using FDA FAERS reports, drug labels, and disproportionality statistics (PRR, ROR, IC). Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, regulatory submissions, and detecting rare AE signals not visible in clinical trials.
mims-harvard/ToolUniverseInstallMap environmental and industrial chemicals to adverse outcome pathways (AOPs) — molecular initiating event to organ-level toxicity. Uses AOPWiki, GHS classification, IARC carcinogen status, and LD50 data. Use for environmental/industrial chemical risk assessment, regulatory-grade hazard characterization, and AOP stressor mapping. Distinct from drug-safety analysis (use tooluniverse-pharmacovigilance for drugs).
mims-harvard/ToolUniverseInstallAging biology, cellular senescence, and longevity research. Covers senescence markers (p16/CDKN2A, SASP, SA-beta-gal), aging hallmarks, senolytic drug discovery (dasatinib+quercetin, fisetin, navitoclax), epigenetic clocks, telomere biology, and longevity GWAS. Use for senescence-pathway analysis, age-related disease genetics, senolytic-target discovery, and centenarian-genetics queries. Distinguishes correlative vs causal evidence (knockout, intervention).
mims-harvard/ToolUniverseInstallTherapeutic antibody engineering and optimization, lead-to-clinical-candidate. Covers sequence humanization (germline alignment, framework retention), affinity maturation, developability (aggregation, stability, PTMs), structure modeling (AlphaFold/PDB CDR analysis), immunogenicity prediction, and manufacturing feasibility. Use for biologic-drug optimization, mAb design review, biosimilar engineering, and clinical-precedent comparison.
mims-harvard/ToolUniverseInstallDiscover novel small-molecule binders for protein targets using structure-based and ligand-based screening. Covers druggability assessment, known-ligand mining (ChEMBL, BindingDB), similarity expansion, ADMET filtering, and synthesis feasibility. Use for hit identification, virtual screening, target-to-compounds workflows, and lead-finding before commit-to-medchem.
mims-harvard/ToolUniverseInstallTranslate free-text tumor descriptions to OncoTree codes and resolve cancer subtypes/tissue hierarchy. Cross-references UMLS/NCI vocabularies. Use for standardizing cancer-type nomenclature in EHR free-text, building cohorts in OncoKB or GDC, mapping tumor-board notes to ontology codes, and ensuring consistent terminology across cancer-genomics pipelines.
mims-harvard/ToolUniverseInstallTCGA/GDC cancer genomics analysis — cohort construction, clinical metadata retrieval, somatic mutation frequencies, survival analysis, and multi-omics integration. Use for TCGA-BRCA-style cohort studies, mutation prevalence by cancer type, survival-by-mutation analysis, and pan-cancer driver discovery. Always cancer-type-specific (don't use pan-cancer counts without cohort context).
mims-harvard/ToolUniverseInstallClinical interpretation of somatic cancer mutations for precision oncology. Transforms a gene + variant + cancer-type input into an actionable report: clinical evidence tier (CIViC, OncoKB), therapeutic options (FDA-approved + investigational), resistance mechanisms, prognosis, and matching clinical trials. Use for tumor-board variant calls, somatic-mutation actionability assessment, and treatment selection. Always cancer-type-specific.
mims-harvard/ToolUniverseInstallCancer cell-line selection and profiling for experimental model choice. Cross-references DepMap, Cellosaurus, COSMIC, PharmacoDB to deliver identity verification, mutation/CNV profile, gene dependencies, drug sensitivities, and druggable targets. Use to answer 'which cell line should I use for studying gene X?' or 'is this cell line a good model for cancer Y?'. Outputs ranked recommendations with rationale, growth characteristics, and known pitfalls.
mims-harvard/ToolUniverseInstallRetrieve chemical compound data from PubChem and ChEMBL with disambiguation, cross-referencing, and stereochemistry handling. Use for resolving compound names to SMILES/InChI/CID/ChEMBL IDs (including OPSIN deterministic IUPAC-name-to-structure parsing), fetching molecular properties, distinguishing isomers/stereo forms, and cross-validating identity across databases. Always use English compound names; flags ambiguous queries (e.g., Vitamin D has multiple forms).
mims-harvard/ToolUniverseInstallChemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, PubChemTox experimental data, GHS/IARC hazard classification, and exposure-context analysis. Use for chemical hazard identification, occupational/consumer-product toxicity, dose-response evaluation, and acute (LD50) vs chronic toxicity assessment. Distinguishes drug toxicity from environmental chemical toxicity.
mims-harvard/ToolUniverseInstallFind commercial sources for chemical compounds — PubChem/ChEMBL identity resolution then vendor catalog search across ZINC, Enamine, eMolecules, Mcule. Compares pricing, availability, and identifies purchasable analogs when an exact compound is not in stock. Use for chemical procurement, virtual library curation, and 'where can I buy X' questions for synthesis planning.
mims-harvard/ToolUniverseInstallInstall the ToolUniverse Claude Code plugin in one step — provides MCP server with 1000+ scientific tools, 120+ research skills, slash commands, hooks, and the research agent. Use for first-time plugin install, troubleshooting plugin not loading, verifying MCP server connection, listing API key requirements, or configuring auto-update.
mims-harvard/ToolUniverseInstallEnd-to-end drug safety review integrating FDA labels, FAERS adverse event reports, PRR/ROR disproportionality, pharmacogenomic biomarkers, clinical trial data, and published literature. Use for regulatory drug safety reviews, comprehensive pharmacovigilance reports, label-vs-real-world AE comparison, and clinical decision support for drug safety.
mims-harvard/ToolUniverseInstallSearch and retrieve clinical practice guidelines from 12+ authoritative sources — NICE, WHO, NCCN, AHA, ADA, SIGN, USPSTF, IDSA, NIH consensus, ESMO/ESC/EASL European societies, and US specialty associations. Use for evidence-graded treatment recommendations, dosing protocols, screening guidance, and authoritative-source-prioritized clinical guidance (NICE/WHO ranked above society guidelines).
mims-harvard/ToolUniverseInstallStrategic clinical trial design feasibility assessment. Analyzes 6 dimensions (endpoint, population, comparator, effect size, duration, regulatory pathway) using precedent trials and FDA guidance. Produces enrollment projections, endpoint recommendations, and approval-pathway analysis. Use for trial-protocol design, power/sample-size estimation, comparator selection, and FDA submission strategy. Driven by precedent-based reasoning rather than first-principles math.
mims-harvard/ToolUniverseInstallAI-driven patient-to-trial matching for precision oncology and rare-disease care. Transforms a patient's molecular profile (mutations, biomarkers, expression) and clinical state into ranked clinical-trial recommendations with evidence tiers. Searches ClinicalTrials.gov, the EU CTIS register (European/EEA trials), AND the ISRCTN registry (UK/international) plus cross-references CIViC, OpenTargets, ChEMBL, and FDA labels. Use for matching patients to trials by genotype, biomarker-driven trial selection, trial-eligibility scoring, and finding trials across the US, Europe, and the UK.
mims-harvard/ToolUniverseInstallCross-species gene comparison and ortholog analysis. Integrates Ensembl Compara orthologs, NCBI Gene, UniProt, OLS, Monarch, and OpenTargets to identify orthologs, paralogs, sequence conservation, functional conservation across species, and lineage-specific gene gains/losses. Use for phylogenetic gene tracing, model-organism mapping, and evolutionary-genomics queries.
mims-harvard/ToolUniverseInstallSolve quantitative problems in biophysics — pharmacokinetics (PK volume of distribution, clearance, half-life), epidemiology (R0, attack rate), toxicology (LD50, NOAEL), population genetics (Hardy-Weinberg, Fst), enzyme kinetics (Michaelis-Menten), thermodynamics. Use for first-principles quantitative biology calculations, dose calculations, exposure assessment, and biophysical-property estimation.
mims-harvard/ToolUniverseInstall