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This architecture supports both top-down planning (breaking ideas into epics into tasks) and bottom-up aggregation (rolling up task completion to parent epic status).","intents":["I need to break down a large project idea into manageable epics and then into concrete tasks","I want to see task completion status bubble up to show epic and project progress","I need to organize work at different levels of abstraction without losing the relationships between them"],"best_for":["engineering teams managing complex projects with multiple work streams","solo developers building features that require multi-stage planning","product managers translating high-level roadmap items into engineering tasks"],"limitations":["hierarchy limited to three levels (ideas/epics/tasks) — no arbitrary nesting depth","no built-in support for cross-project dependencies or critical path analysis","status aggregation is simple boolean completion — no weighted or partial progress tracking"],"requires":["Node.js 16+ or Python 3.8+ (depending on MCP server implementation)","MCP client compatible with tool-use protocol","local file system or configured data store for persistence"],"input_types":["text (task title, description, epic name)","structured metadata (priority, assignee, due date)"],"output_types":["hierarchical JSON tree structure","CLI dashboard visualization","status summaries (completion percentages per level)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-project-manager__cap_1","uri":"capability://automation.workflow.cli.dashboard.rendering.with.real.time.task.tree.visualization","name":"cli dashboard rendering with real-time task tree visualization","description":"Renders a terminal-based dashboard that displays the hierarchical task tree with visual indicators for status, priority, and completion. The implementation uses ANSI color codes and box-drawing characters to create an interactive tree view that can be navigated and expanded/collapsed. The dashboard updates in real-time as tasks are created, modified, or completed, providing immediate visual feedback without requiring page refreshes or external tools.","intents":["I want to see my entire project structure at a glance in the terminal without opening a web browser","I need to quickly navigate and expand/collapse task hierarchies to focus on specific work areas","I want real-time visual feedback when tasks are updated so I know the current state immediately"],"best_for":["developers who work primarily in terminal environments (vim, tmux, shell workflows)","teams using CI/CD pipelines that need to display project status in logs or dashboards","remote teams that prefer lightweight, SSH-friendly tools over web UIs"],"limitations":["terminal width constraints limit tree depth visualization — deeply nested structures may wrap or truncate","no mouse support — navigation requires keyboard commands or arrow keys","rendering performance degrades with >1000 tasks due to full tree re-render on each update","ANSI color support varies across terminal emulators — may not render correctly on Windows CMD or older terminals"],"requires":["terminal emulator with ANSI color support (bash, zsh, PowerShell 7+)","Node.js 16+ or Python 3.8+ runtime","MCP client running locally or via SSH"],"input_types":["keyboard input (arrow keys, enter, vim-style commands)","task state updates from MCP tool calls"],"output_types":["ANSI-formatted terminal output","tree structure with visual hierarchy (indentation, box-drawing characters)","status indicators (✓, ✗, ◐ for completion states)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-project-manager__cap_2","uri":"capability://tool.use.integration.mcp.tool.use.integration.for.ai.driven.task.management","name":"mcp tool-use integration for ai-driven task management","description":"Exposes task management operations (create idea, create epic, create task, update status, delete task) as MCP tools that can be called by LLM agents through a standardized function-calling interface. Each tool has a defined schema (JSON Schema) specifying required parameters, types, and validation rules. The MCP server handles tool invocation, validates inputs, executes the operation, and returns structured results that the agent can reason about and chain into subsequent operations.","intents":["I want an AI agent to automatically break down a project description into epics and tasks without manual input","I need to integrate task management into an agentic workflow where the AI can create, update, and track tasks as it works","I want to enable natural language task creation — just describe what needs to be done and the agent creates the hierarchy"],"best_for":["teams building AI agents that need to manage their own work or coordinate with humans","developers integrating task management into larger MCP-based automation systems","product teams experimenting with AI-assisted project planning and decomposition"],"limitations":["tool schema is static — no dynamic schema generation based on custom fields or metadata","no built-in transaction support — multi-step operations (create epic, then create 3 tasks) can partially fail","agent hallucination risk — LLM may create invalid task hierarchies or misunderstand parent-child relationships","no audit trail or rollback — agent mistakes require manual cleanup"],"requires":["MCP client compatible with tool-use protocol (Claude, custom LLM agents)","Node.js 16+ or Python 3.8+ for MCP server","JSON Schema validation library (typically built into MCP framework)"],"input_types":["JSON-formatted tool parameters (task name, epic ID, priority, assignee)","natural language descriptions (parsed by LLM into structured parameters)"],"output_types":["JSON success/error responses with task IDs and metadata","structured task objects for agent reasoning","status confirmations for chained operations"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-project-manager__cap_3","uri":"capability://data.processing.analysis.task.status.tracking.with.completion.aggregation","name":"task status tracking with completion aggregation","description":"Maintains completion state for individual tasks (not started, in progress, completed) and automatically aggregates status up the hierarchy to calculate epic and idea completion percentages. The system uses a bottom-up calculation model where parent status is derived from child task completion counts. Status changes are propagated immediately, allowing dashboards and agents to see real-time progress metrics without manual updates.","intents":["I want to see what percentage of an epic is complete based on its child tasks","I need to track task progress without manually updating parent statuses","I want to identify bottlenecks — which epics are stalled or which tasks are blocking progress"],"best_for":["engineering teams tracking sprint progress or release readiness","project managers needing quick visibility into work completion","AI agents that need to understand project state to make decisions about next steps"],"limitations":["completion is binary per task — no support for partial progress, subtasks, or percentage-based completion","no time-based metrics — cannot calculate velocity, burndown, or estimated completion dates","aggregation is simple count-based — all tasks weighted equally regardless of effort or priority","no dependency tracking — cannot identify critical path or blocking tasks"],"requires":["task state persistence (file system, database, or in-memory store)","calculation logic triggered on task status updates"],"input_types":["task status updates (enum: not_started, in_progress, completed)"],"output_types":["completion percentage per epic (0-100%)","completion percentage per idea (0-100%)","task count summaries (X of Y tasks complete)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-project-manager__cap_4","uri":"capability://data.processing.analysis.persistent.task.storage.with.file.based.or.database.backend","name":"persistent task storage with file-based or database backend","description":"Stores task hierarchies and metadata in a persistent backend (likely JSON files or SQLite database based on typical MCP patterns) that survives process restarts. The system implements CRUD operations (create, read, update, delete) that serialize/deserialize task objects to/from storage. Concurrent access is handled through file locking or transaction isolation, ensuring data consistency when multiple clients or agents access the same project.","intents":["I need my tasks to persist across terminal sessions and restarts","I want to share a project with teammates — they should see the same task list","I need to export or backup my project data for archival or migration"],"best_for":["teams using the tool as a persistent project management system","developers integrating task management into larger systems that need data durability","organizations with data retention or compliance requirements"],"limitations":["no built-in cloud sync — data is local only unless manually backed up or synced","concurrent write conflicts possible if multiple agents/clients update simultaneously without locking","no versioning or audit trail — task history is not preserved, only current state","storage format is implementation-specific — no standard export format (e.g., CSV, JSON schema)"],"requires":["writable file system or database connection","Node.js 16+ or Python 3.8+ with file I/O or database driver","sufficient disk space for task data (typically minimal — kilobytes to megabytes)"],"input_types":["task objects (JSON or ORM models)"],"output_types":["persisted task data (JSON files, database records)","export formats (JSON, potentially CSV or XML)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-project-manager__cap_5","uri":"capability://data.processing.analysis.task.metadata.and.priority.management","name":"task metadata and priority management","description":"Stores and manages additional task attributes beyond title and status, such as priority level (low, medium, high, critical), assignee, due date, and custom tags or labels. The system allows filtering and sorting tasks by these attributes, enabling users and agents to focus on high-priority or overdue work. Metadata is included in MCP tool schemas, allowing agents to set these properties when creating or updating tasks.","intents":["I want to mark certain tasks as high-priority so they're worked on first","I need to assign tasks to specific team members and see who owns what","I want to filter the dashboard to show only overdue or critical tasks"],"best_for":["teams with multiple members who need to coordinate and assign work","projects with varying task urgency that require prioritization","managers who need to see workload distribution across team members"],"limitations":["metadata schema is fixed — no custom fields or extensible attributes","no role-based access control — all users can see and modify all tasks","no notification system — assignees are not alerted when tasks are assigned to them","priority is advisory only — no enforcement or blocking based on priority"],"requires":["task storage backend that supports metadata fields","filtering/sorting logic in CLI dashboard or MCP tool responses"],"input_types":["priority enum (low, medium, high, critical)","assignee string (user name or ID)","due date (ISO 8601 format)","tags array (free-form strings)"],"output_types":["filtered task lists (by priority, assignee, due date)","sorted task lists (by priority descending, due date ascending)","task metadata in JSON responses"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ or Python 3.8+ (depending on MCP server implementation)","MCP client compatible with tool-use protocol","local file system or configured data store for persistence","terminal emulator with ANSI color support (bash, zsh, PowerShell 7+)","Node.js 16+ or Python 3.8+ runtime","MCP client running locally or via SSH","MCP client compatible with tool-use protocol (Claude, custom LLM agents)","Node.js 16+ or Python 3.8+ for MCP server","JSON Schema validation library (typically built into MCP framework)","task state persistence (file system, database, or in-memory store)"],"failure_modes":["hierarchy limited to three levels (ideas/epics/tasks) — no arbitrary nesting depth","no built-in support for cross-project dependencies or critical path analysis","status aggregation is simple boolean completion — no weighted or partial progress tracking","terminal width constraints limit tree depth visualization — deeply nested structures may wrap or truncate","no mouse support — navigation requires keyboard commands or arrow keys","rendering performance degrades with >1000 tasks due to full tree re-render on each update","ANSI color support varies across terminal emulators — may not render correctly on Windows CMD or older terminals","tool schema is static — no dynamic schema generation based on custom fields or metadata","no built-in transaction support — multi-step operations (create epic, then create 3 tasks) can partially fail","agent hallucination risk — LLM may create invalid task hierarchies or misunderstand parent-child relationships","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.047Z","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=project-manager","compare_url":"https://unfragile.ai/compare?artifact=project-manager"}},"signature":"6JqRUS+U1ybd0fmspkssQV+3NXhovRYrQ44Sb6zK4Xu59R23J5kVtW8IPoWmVl+gJu/jNsLiEI2XjvTb6JHgDg==","signedAt":"2026-06-20T14:06:08.730Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/project-manager","artifact":"https://unfragile.ai/project-manager","verify":"https://unfragile.ai/api/v1/verify?slug=project-manager","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"}}