Tools & Automation

CLI tools, utilities, converters, workflow automation, and productivity helpers

skills in category: 45,575
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Dag QualityAValidates agent outputs against schemas and quality criteria, scores confidence, detects hallucinations, monitors convergence, decides when to iterate, and synthesizes actionable feedback. Use when checking if a node's output is acceptable, scoring confidence, detecting fabricated content, deciding whether to re-execute, or generating improvement feedback. Activate on "validate output", "check quality", "confidence score", "hallucination check", "should we iterate", "improvement feedback". NO...toolsgonodeVotes: 0GitHub stars: 2
Dag Permission ValidatorAValidates versioned permission requests against a grant scope and records comparison evidence. Activate on 'validate permissions', 'permission check', 'inheritance validation', 'permission matrix', 'security validation'. NOT for runtime enforcement (use dag-scope-enforcer) or isolation management (use dag-isolation-manager).toolsrustgoVotes: 0GitHub stars: 2
Dag Pattern LearnerALearns from DAG execution history to improve future performance. Identifies successful patterns, detects anti-patterns, and provides recommendations. Activate on 'learn patterns', 'execution patterns', 'what worked', 'optimize based on history', 'pattern analysis'. NOT for failure analysis (use dag-failure-analyzer) or performance profiling (use dag-performance-profiler).toolsgoapiVotes: 0GitHub stars: 2
Dag Parallel ExecutorAExecutes DAG waves with controlled parallelism using the Task tool. Manages concurrent agent spawning, resource limits, and execution coordination. Activate on 'execute dag', 'parallel execution', 'concurrent tasks', 'run workflow', 'spawn agents'. NOT for scheduling (use dag-task-scheduler) or building DAGs (use dag-graph-builder).toolsgonodeVotes: 0GitHub stars: 2
Dag Mutation StrategistADecides HOW to mutate a DAG when a node fails, quality is below threshold, or new information changes the plan. Selects from mutation strategies (add node, replace agent, fork paths, loop back, downgrade model) based on failure type, cost budget, and execution history. Activate on "DAG failed how to fix", "mutation strategy", "replan on failure", "adaptive DAG", "recovery strategy", "what to do when node fails". NOT for detecting failures (use dag-quality), executing mutations (use dag-planne...toolsgonodeVotes: 0GitHub stars: 2
Dag Iteration DetectorAIdentifies when task outputs require iteration based on quality signals, unmet requirements, or explicit feedback. Triggers appropriate re-execution strategies. Activate on 'needs iteration', 'retry needed', 'not good enough', 'try again', 'refine output'. NOT for feedback generation (use dag-feedback-synthesizer) or convergence tracking (use dag-convergence-monitor).toolsgoapiVotes: 0GitHub stars: 2
Dag Isolation ManagerAManages agent isolation levels and resource boundaries. Specifies concrete controls and the evidence needed to assess their boundaries. Activate on 'isolation level', 'agent isolation', 'resource boundaries', 'sandboxing', 'agent containment'. NOT for permission validation (use dag-permission-validator) or runtime enforcement (use dag-scope-enforcer).toolsjavascriptrustVotes: 0GitHub stars: 2
Dag Hallucination DetectorAPerforms claim-evidence verification for agent outputs, recording supported, contradicted, or insufficient-evidence results alongside source accessibility. Activate on 'detect hallucination', 'fact check', 'verify claims', 'check accuracy', 'find fabrications'. NOT for validation (use dag-output-validator) or confidence scoring (use dag-confidence-scorer).toolsgogitVotes: 0GitHub stars: 2
Dag Graph BuilderAParses complex problems into candidate DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies and identifies candidate parallelization opportunities. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.toolsgonodeVotes: 0GitHub stars: 2
Dag Feedback SynthesizerASynthesizes evidence-linked feedback from validation results, confidence evidence, and iteration triggers. Proposes bounded revision guidance for a stated acceptance failure. Activate on 'synthesize feedback', 'improvement suggestions', 'actionable feedback', 'iteration guidance', 'feedback generation'. NOT for iteration detection (use dag-iteration-detector) or convergence tracking (use dag-convergence-monitor).toolsgoapiVotes: 0GitHub stars: 2
Dag Failure AnalyzerAInvestigates DAG incidents with a precise top event, timeline, competing hypotheses, barriers, propagation, and bounded recovery. NOT for automated root-cause classification, trace collection, or performance profiling.toolsgoperformanceVotes: 0GitHub stars: 2
Dag Dependency ResolverAValidates typed DAG dependency declarations, returns Kahn linear extensions or generations and residual cycle witnesses, and identifies changed consumers for revalidation. NOT for constructing graphs, scheduling resource capacity, granting effects, or executing nodes.toolsgonodeVotes: 0GitHub stars: 2
Dag Convergence MonitorAMonitors a specified object against explicit stopping criteria and distinguishestoolsgonodeVotes: 0GitHub stars: 2
Dag Context BridgerABuilds scoped, provenance-preserving context packets between DAG nodes.toolsgonodeVotes: 0GitHub stars: 2
Dag Capability RankerARanks eligible skill candidates with explicit retrieval evidence, capabilitytoolstypescriptperformanceVotes: 0GitHub stars: 2
Bdi Organizational ModelingAModel an organization with BDI-inspired perceptions, expressed goals, accommodations, and levels of agency. Use for socio-technical diagnosis where actors interpret the same situation differently and agreement is partial. NOT for individual AgentSpeak execution, normative conflict algorithms, or ordinary workflow diagrams.toolsgoexpressVotes: 0GitHub stars: 2
Bdi Normative ReasoningADesign an agent's handling of obligations, prohibitions, permissions, and conflicts among norms and goals. Use when an autonomous agent must decide which norms apply and what to do when they conflict. NOT for simple fixed policy checks, ordinary BDI commitment design, or organizational metaphor.toolsgoVotes: 0GitHub stars: 2
Bdi Models And Systems Reducing The GapAImplement executable BDI reasoning with explicit negation, paraconsistent revision, trigger-based commitment updates, and abduction. Use for runtime agent semantics and conflicting desires. NOT for purely axiomatic modal logic, black-box planners, or classical logic without operational semantics.toolsgoVotes: 0GitHub stars: 2
Bdi Models And Systems Reducing The Gap PaperADesign executable BDI reasoning using scoped explicit negation, Event Calculus, abductive feasibility checks, and preference-governed revision. The cited paper assumes initially consistent beliefs and leaves belief update out of scope; observation update is a local extension. NOT for purely axiomatic modal logic, black-box planners, or classical logic without operational semantics.toolspythongoVotes: 0GitHub stars: 2
Agentspeak L Bdi ArchitectureADesign AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.toolspythongoVotes: 0GitHub stars: 2
Agentspeak L Bdi Agents Speak Out In A Logical ComputableADesign AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.toolsgoreactVotes: 0GitHub stars: 2
Bdi Agent InterpretersAImplement an executable BDI agent cycle with events, context-guarded plans, intention stacks, selection functions, and belief revision. Use when designing or debugging AgentSpeak-style runtimes or concrete BDI program semantics. NOT for high-level BDI adoption, organizational modeling, norms, or hypertree team planning.toolsgodebuggingVotes: 0GitHub stars: 2
Bdi Agency ModelABDI (Beliefs-Desires-Intentions) agency framework for designing autonomous agents with mental state architecturestoolsgodebuggingVotes: 0GitHub stars: 2
Bdi Agent ArchitectureADesign an individual agent's belief, goal, intention, and reconsideration model. Use when specifying autonomous decision state, commitment policy, or recovery from failed plans. NOT for AgentSpeak interpreter mechanics, organization modeling, normative conflicts, or multi-agent execution waves.toolsgosecurityVotes: 0GitHub stars: 2