{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-yuga-planner","slug":"yuga-planner","name":"Yuga Planner","type":"repo","url":"https://github.com/blackopsrepl/yuga-planner","page_url":"https://unfragile.ai/yuga-planner","categories":["automation"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-yuga-planner__cap_0","uri":"capability://planning.reasoning.task.decomposition.with.semantic.understanding","name":"task-decomposition-with-semantic-understanding","description":"Breaks down unstructured task descriptions into discrete, schedulable subtasks using LLamaIndex's document parsing and semantic chunking. The system analyzes task dependencies, estimated durations, and priority signals from natural language input, then structures them into a hierarchical task graph that respects logical ordering constraints and resource availability.","intents":["I need to break down a complex project description into actionable calendar items automatically","I want to understand task dependencies and critical path from a written brief","I need to estimate how long a project will take based on its description"],"best_for":["project managers automating sprint planning from narrative requirements","solo developers converting project briefs into structured backlogs","teams needing AI-assisted task breakdown without manual decomposition"],"limitations":["Accuracy depends on task description clarity — vague or ambiguous descriptions may produce incomplete decompositions","No built-in domain-specific knowledge — generic task understanding without industry context","Estimated durations are heuristic-based and may not reflect actual complexity in specialized domains"],"requires":["Python 3.8+","LLamaIndex library installed","LLM API access (OpenAI, local Ollama, or compatible provider)","Task description as text input (minimum ~50 characters for meaningful decomposition)"],"input_types":["text (task description, project brief, requirements document)"],"output_types":["structured data (task tree with dependencies, durations, priority levels)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_1","uri":"capability://automation.workflow.calendar.aware.schedule.optimization","name":"calendar-aware-schedule-optimization","description":"Integrates decomposed tasks with existing calendar data using Timefold's constraint satisfaction solver to find optimal scheduling that respects availability windows, task dependencies, and resource constraints. The solver uses mixed-integer programming patterns to minimize scheduling conflicts and maximize calendar utilization while respecting hard constraints (blocked time, dependencies) and soft constraints (preferred time slots, task clustering).","intents":["I want to automatically schedule decomposed tasks into my existing calendar without conflicts","I need to find the earliest feasible completion date given task dependencies and my availability","I want to group related tasks into time blocks to minimize context switching"],"best_for":["busy professionals with fragmented calendars needing automated scheduling","teams coordinating multiple projects with complex dependency chains","organizations optimizing resource allocation across competing priorities"],"limitations":["Solver performance degrades with >100 tasks or >50 calendar constraints — may require optimization tuning","No multi-person resource scheduling — single-user calendar focus","Assumes fixed task durations — no dynamic adjustment based on actual progress","Calendar integration limited to formats supported by underlying calendar library"],"requires":["Python 3.8+","Timefold solver library (Java runtime required for constraint solver)","Existing calendar data in iCalendar format or compatible API","Decomposed task list with duration and dependency metadata"],"input_types":["structured data (task list with durations, dependencies, priority)","calendar data (iCalendar format, Google Calendar API, or similar)"],"output_types":["structured data (scheduled task list with start/end times, calendar events)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_2","uri":"capability://planning.reasoning.dependency.aware.task.ordering","name":"dependency-aware-task-ordering","description":"Analyzes semantic relationships between decomposed subtasks to infer and enforce logical dependencies (e.g., 'design must precede implementation'). The system builds a directed acyclic graph (DAG) of task dependencies extracted from task descriptions and metadata, then uses topological sorting to ensure scheduling respects critical path constraints and prevents impossible orderings.","intents":["I need to ensure tasks are scheduled in the correct logical order automatically","I want to identify the critical path and bottleneck tasks in my project","I need to detect circular dependencies or impossible task orderings"],"best_for":["project managers working with complex multi-phase projects","development teams managing feature dependencies and release sequencing","organizations needing automated critical path analysis"],"limitations":["Dependency inference is heuristic-based — may miss implicit dependencies or infer false dependencies","No support for soft dependencies or optional task orderings","Assumes acyclic task graphs — circular dependencies detected but not resolved","Limited to sequential and parallel patterns — no complex workflow patterns (loops, branches)"],"requires":["Python 3.8+","LLamaIndex for semantic task analysis","Task descriptions with sufficient detail for dependency inference"],"input_types":["text (task descriptions with implicit dependency signals)","structured data (task list with explicit dependency annotations)"],"output_types":["structured data (task DAG with dependency edges, critical path, slack times)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_3","uri":"capability://automation.workflow.multi.calendar.conflict.detection","name":"multi-calendar-conflict-detection","description":"Scans existing calendar entries (personal, team, shared calendars) to identify scheduling conflicts and availability windows before proposing task placements. The system maintains a unified view of calendar constraints across multiple sources, flags hard conflicts (overlapping events), and identifies soft conflicts (back-to-back meetings, insufficient buffer time), then feeds these constraints to the scheduling optimizer.","intents":["I want to automatically detect when proposed task times conflict with my existing commitments","I need to find available time slots across multiple calendars without manual checking","I want to ensure adequate buffer time between meetings and focused work blocks"],"best_for":["professionals with multiple overlapping calendars (work, personal, team)","teams coordinating across time zones with shared calendar constraints","organizations needing conflict-free scheduling across departments"],"limitations":["Requires calendar API access — not all calendar systems supported equally","No real-time conflict detection — uses snapshot of calendar at planning time","Cannot distinguish between hard blocks and soft preferences without explicit metadata","Time zone handling depends on calendar system accuracy"],"requires":["Python 3.8+","Calendar API credentials (Google Calendar, Outlook, iCalendar server, etc.)","Read access to all calendars to be checked","Network connectivity for real-time calendar queries"],"input_types":["calendar data (iCalendar format, API endpoints, or calendar URLs)","task list with proposed scheduling windows"],"output_types":["structured data (conflict report, available time windows, constraint list)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_4","uri":"capability://planning.reasoning.duration.estimation.from.task.description","name":"duration-estimation-from-task-description","description":"Estimates task duration and effort from natural language task descriptions using LLM-based analysis combined with heuristic patterns (task complexity signals, scope indicators, historical patterns). The system analyzes description length, complexity keywords, resource requirements, and dependency count to produce probabilistic duration estimates with confidence intervals, enabling more realistic scheduling than fixed assumptions.","intents":["I want realistic time estimates for tasks without manual estimation","I need to understand uncertainty in task duration for risk planning","I want to adjust estimates based on team velocity or historical data"],"best_for":["agile teams automating story point estimation and sprint planning","solo developers planning personal projects with uncertain scope","organizations lacking historical estimation data"],"limitations":["Estimates are heuristic-based without domain-specific training data — accuracy varies by task type","No learning from actual task completion times — estimates don't improve over time","Assumes similar complexity across domains — specialized tasks may be systematically over/under-estimated","Confidence intervals are statistical approximations, not empirically validated"],"requires":["Python 3.8+","LLM access for semantic analysis","Task descriptions with sufficient detail (minimum ~20 words recommended)"],"input_types":["text (task description, acceptance criteria, scope notes)"],"output_types":["structured data (duration estimate in hours/days, confidence interval, estimation rationale)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_5","uri":"capability://automation.workflow.schedule.to.calendar.export","name":"schedule-to-calendar-export","description":"Converts optimized task schedule into calendar events and exports to standard formats (iCalendar, Google Calendar, Outlook) or APIs. The system creates calendar entries with task metadata (description, dependencies, priority), generates event notifications and reminders based on task type, and handles recurring or multi-day tasks by creating appropriate calendar structures.","intents":["I want to push the optimized schedule directly into my calendar application","I need to share the schedule with team members via calendar invites","I want calendar reminders and notifications for scheduled tasks"],"best_for":["teams needing to synchronize AI-generated schedules with existing calendar systems","professionals wanting one-click calendar integration without manual entry","organizations automating calendar management across multiple users"],"limitations":["Export quality depends on target calendar system — some systems drop custom metadata","No bidirectional sync — changes in calendar don't update the plan","Recurring task handling limited to simple patterns — complex recurrence rules may not export correctly","Requires write access to target calendar — may have permission restrictions"],"requires":["Python 3.8+","Calendar API credentials with write access","Optimized task schedule with start/end times","iCalendar library or calendar API client"],"input_types":["structured data (scheduled task list with timestamps, metadata)"],"output_types":["calendar events (iCalendar format, API calls to calendar services)","structured data (export confirmation, created event IDs)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_6","uri":"capability://automation.workflow.iterative.schedule.refinement","name":"iterative-schedule-refinement","description":"Enables interactive refinement of generated schedules through constraint adjustment and re-optimization. Users can modify task durations, add/remove constraints (e.g., 'no meetings after 5pm'), adjust priorities, or manually override specific task placements, then trigger re-solving to find new optimal schedules respecting the updated constraints. The system tracks constraint history and enables rollback to previous schedule versions.","intents":["I want to adjust the schedule if the initial plan doesn't work for me","I need to add new constraints (e.g., vacation time) and re-optimize","I want to manually override specific task placements while keeping others optimized"],"best_for":["professionals needing interactive schedule planning with human-in-the-loop refinement","teams iterating on project timelines as requirements change","organizations managing dynamic scheduling with changing constraints"],"limitations":["Re-optimization latency increases with schedule size — large schedules may take seconds to re-solve","Manual overrides can create suboptimal global schedules — no warning if override conflicts with optimization goals","Constraint history tracking adds storage overhead — not suitable for very large iteration counts","No undo/redo for constraint changes — rollback is version-based, not granular"],"requires":["Python 3.8+","Timefold solver with sufficient compute resources","Interactive UI or API for constraint modification","Persistent storage for schedule versions"],"input_types":["structured data (current schedule, constraint modifications, override requests)"],"output_types":["structured data (refined schedule, constraint change log, version history)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-yuga-planner__cap_7","uri":"capability://planning.reasoning.task.priority.and.urgency.analysis","name":"task-priority-and-urgency-analysis","description":"Analyzes task descriptions to extract and infer priority signals (explicit priority markers, deadline urgency, dependency criticality, business impact keywords) and uses these to weight scheduling decisions. The system assigns priority scores based on semantic analysis, deadline proximity, and critical path position, then feeds these weights to the optimizer to prefer high-priority tasks in scheduling conflicts.","intents":["I want the scheduler to prioritize urgent or critical tasks automatically","I need to understand which tasks are on the critical path and cannot be delayed","I want to adjust scheduling to complete high-impact work first"],"best_for":["teams managing projects with mixed priority levels and tight deadlines","organizations needing to maximize business value delivery through smart prioritization","agile teams automating priority-based sprint planning"],"limitations":["Priority inference is heuristic-based — may misinterpret urgency signals or miss implicit priorities","No multi-stakeholder priority reconciliation — assumes single priority perspective","Priority weights are static — don't adapt as project progresses or context changes","Business impact assessment is generic — lacks domain-specific value models"],"requires":["Python 3.8+","LLamaIndex for semantic priority analysis","Task descriptions with priority signals or explicit priority metadata"],"input_types":["text (task descriptions with priority signals)","structured data (explicit priority scores, deadline dates)"],"output_types":["structured data (priority scores, critical path analysis, scheduling weights)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Python 3.8+","LLamaIndex library installed","LLM API access (OpenAI, local Ollama, or compatible provider)","Task description as text input (minimum ~50 characters for meaningful decomposition)","Timefold solver library (Java runtime required for constraint solver)","Existing calendar data in iCalendar format or compatible API","Decomposed task list with duration and dependency metadata","LLamaIndex for semantic task analysis","Task descriptions with sufficient detail for dependency inference","Calendar API credentials (Google Calendar, Outlook, iCalendar server, etc.)"],"failure_modes":["Accuracy depends on task description clarity — vague or ambiguous descriptions may produce incomplete decompositions","No built-in domain-specific knowledge — generic task understanding without industry context","Estimated durations are heuristic-based and may not reflect actual complexity in specialized domains","Solver performance degrades with >100 tasks or >50 calendar constraints — may require optimization tuning","No multi-person resource scheduling — single-user calendar focus","Assumes fixed task durations — no dynamic adjustment based on actual progress","Calendar integration limited to formats supported by underlying calendar library","Dependency inference is heuristic-based — may miss implicit dependencies or infer false dependencies","No support for soft dependencies or optional task orderings","Assumes acyclic task graphs — circular dependencies detected but not resolved","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.690Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=yuga-planner","compare_url":"https://unfragile.ai/compare?artifact=yuga-planner"}},"signature":"Tix9+KZMOkhvHtvTBIRQUfLuvUQHU6WsjlZ6DTVTx0l9IVhJNlyltGfgsJtwrUbBGUdPY3oNbCP6kyzuLPR2AQ==","signedAt":"2026-06-20T05:31:53.701Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/yuga-planner","artifact":"https://unfragile.ai/yuga-planner","verify":"https://unfragile.ai/api/v1/verify?slug=yuga-planner","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}