The library
Everything we index — ranked by what works, never by stars.
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Annotate genetic variants with clinical dataskillEngineeringL2
clinvar-annotation · Annotating genomic variants with ClinVar pathogenicity and frequency data.
Refactor React components for flexibilityskillEngineeringL1
composition-patterns · Documenting and testing reusable component composition architectures.
Detect and report available compute resourcesskillEngineeringL1
get-available-resources · Discovering available cloud resources and capabilities programmatically.
Build computer-use agents with vision and controlskillEngineeringL3
computer-use-agents · Deploying AI agents to automate computer interactions and workflows.
Reference conductor orchestration contractsskillEngineeringL2
conductor-core · Closing feedback loops across spec→resolve→orchestrate→enforce→review→ship in multi-organ systems where each phase owns a distinct gate.
Execute spec-driven builds through feedback loopskillEngineeringL3
conductor-orchestrator · Multi-organ builds where each task needs the right capability loadout (not generic) and visual work needs brand taste injected before code generation.
Engineer protein glycosylation patternsskillEngineeringL2
glycoengineering · Antibody Fc optimization (enhanced ADCC/CDC), therapeutic half-life engineering, or vaccine design where glycan patterns directly control immune recognition.
Initialize Conducty for first-run setupskillEngineeringL2
conducty-bootstrap · First-time Conducty users who need muscle-memory of the full cycle (Plan→Execute→Verify→Improve) before running real multi-agent work.
Process code review feedback systematicallyskillEngineeringL1
1481-receive-feedback_553c0e44 · Closing the learning loop in multi-agent systems where human feedback refines next-cycle decisions.
Verify quality gates between work groupsskillEngineeringL2
conducty-checkpoint · Enforcing independent evidence per task before multiplying work; prevents bad specs from cascading into later phases.
Conduct holistic post-implementation code reviewskillEngineeringL1
conducty-code-review · Pre-merge correctness gate enforcing 5-lens rigor; catches bugs, security issues, and missed simplifications before ship.
Ingest project context into linked vault graphskillEngineeringL2
conducty-context · Bootstrapping Conducty: seeds the vault with project knowledge so next /plan reads architecture upfront.
Debug failed prompts with leverage-point analysisskillEngineeringL1
conducty-debug · Efficiently diagnosing where a prompt failed (plan/prompt/code level) rather than blindly retrying
Contribute code style guide changesskillEngineeringL1
skills-and-code-style-contribution · Formalizing code style conventions in a team repository through structured proposal workflows
Dispatch and execute batched prompt subagentsskillEngineeringL2
conducty-execute · Orchestrating agentic work with tracer-first risk detection and calibrated review rigor matching task complexity
Define Obsidian vault linking and naming conventionsskillEngineeringL1
conducty-obsidian · Centralizing Conducty plan state, lessons, and design decisions where they persist across sessions
Batch-plan time-budgeted AI prompt workflowsskillEngineeringL1
conducty-plan · Translating shaped work into a time-budgeted, risk-aware execution plan with clear milestones
Deploy serverless bioinformatics workflowsskillEngineeringDataL3
latchbio-integration · Running large-scale bioinformatics pipelines on managed cloud infrastructure without managing clusters
Optimize editor configuration settingsskillEngineeringL1
2224-editor-optimization_5342a688 · Teams debugging slow editor performance on weak hardware or large codebases.
Generate random integersskillEngineeringL1
random-number · Quick random sampling in simple workflows when no statistical properties or reproducibility are needed.
Gate deployment readiness checksskillEngineeringL2
conducty-ship · Pre-merge gates that must mechanically verify lint, tests, and secrets before human approval.
Make AI systems explainable and reversibleskillEngineeringL2
05-ai-observability-and-reversibility · Pre-deployment review of AI-assisted features when customer trust and reversibility are non-negotiable.
Establish orchestration system and principlesskillOpsEngineeringL1
conducty-system · Multi-plan projects where system-level learning (what worked, what failed, what changes) is valued over ad-hoc execution.
Apply test-driven developmentskillEngineeringL1
conducty-tdd · Feature development where verification is continuous and acceptance criteria are unambiguous before coding starts.
Verify results before marking completeskillEngineeringOpsL1
conducty-verify · Marking work complete only after running verification commands and reading output.
Isolate parallel prompt execution with git worktreesskillEngineeringL2
conducty-worktrees · Parallel prompt execution targeting the same repo without merge conflicts.
Run MATLAB numerical computing scriptsskillEngineeringDataL2
matlab · Matrix operations and scientific computing with full visualization control.
Configure Tauri desktop app settingsskillEngineeringL2
configuring-tauri-apps · Fine-tuning Tauri desktop app security, permissions, and platform behavior.
Create publication-ready custom visualizationsskillDataEngineeringL2
matplotlib · Creating publication-quality scientific plots with full customization control.
Set desktop app window security permissionsskillEngineeringL2
configuring-tauri-capabilities · Fine-tuning Tauri desktop app security, permissions, and platform behavior.
Validate network lab topology designsskillOpsEngineeringL2
eve-lab-topology-validation · Validating enzymatic reaction networks for synthetic biology feasibility.
Harden app security with content policiesskillEngineeringL2
configuring-tauri-csp · Fine-tuning Tauri desktop app security, permissions, and platform behavior.
Deploy GPU-accelerated Python to serverless cloudskillEngineeringDataL3
modal · Running Python functions serverless with GPU/TPU for batch compute.
Generate and run ENCODE analysis pipelinesskillDataEngineeringL3
pipeline-guide · Selecting and executing appropriate pipeline for your genomics workflow.
Configure webview response security headersskillEngineeringL2
configuring-tauri-http-headers · Fine-tuning Tauri desktop app security, permissions, and platform behavior.
Run molecular dynamics simulations and analysisskillDataEngineeringL3
molecular-dynamics · Running classical MD simulations with analysis pipelines and GPU acceleration.
Discover and install monorepo tool pluginsskillEngineeringL2
nx-plugins · Extending NestJS monorepo with custom plugins and integrations.
Define desktop app backend access permissionsskillEngineeringL2
configuring-tauri-permissions · Fine-tuning Tauri desktop app security, permissions, and platform behavior.
Convert molecules to ML feature vectorsskillDataEngineeringL2
molfeat · Quickly featurizing chemical structures for QSAR, virtual screening, or deep learning without manual descriptor engineering.
Check feature flag states across channelsskillEngineeringProductL1
flags · Quickly debugging why a feature behaves differently across canary/next/experimental channels.
Restrict app commands with fine-grained scopesskillEngineeringL2
configuring-tauri-scopes · Restricting desktop app file access to safe directories without implementing custom auth per command.
Analyze graphs and detect network patternsskillDataEngineeringL2
networkx · Analyzing organizational hierarchies, social networks, or biological interaction networks without custom graph code.
Access Spec Kitty dashboard and statusskillEngineeringL1
spk-admin-dashboard · Quickly finding the dashboard URL without manually hunting for localhost ports or PIDs.
Prepare code changes for commitskillEngineeringL1
stage · Bundling code changes without manually juggling staging, commits, and conflict resolution.
Write Opentrons liquid handler protocolsskillOpsEngineeringL2
opentrons-integration · Production liquid-handling workflows requiring full Protocol API v2 access and hardware-specific module control.
Refactor code with safety netsskillEngineeringL1
refactor · Large refactoring efforts where test coverage provides a safety net to avoid breaking changes.
Manage LLM context window overflowskillEngineeringProductL2
context-window-management · Multi-turn conversations where context is overflowing, improving model behavior when fed too much historical data.
Generate and commit code changesskillEngineeringL1
commit · Automated commit creation when changes are ready and only a summary message is needed.
Run safe long-lived agent loopsskillEngineeringProductL3
continuous-agent-loop · Autonomous agent systems that need reliable iteration with quality controls and safe recovery from failures.
Learn and evolve agent instinctsskillEngineeringProductL3
continuous-learning-v2 · Long-running development projects where patterns repeat across sessions and can be learned and reused.