{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-maige","slug":"maige","name":"Maige","type":"product","url":"https://maige.app","page_url":"https://unfragile.ai/maige","categories":["app-builders"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-maige__cap_0","uri":"capability://automation.workflow.natural.language.workflow.definition.for.github.repositories","name":"natural-language workflow definition for github repositories","description":"Converts natural language descriptions into executable GitHub workflows without requiring YAML syntax knowledge. The system parses user intent in plain English and generates corresponding GitHub Actions workflow files, likely using an LLM to interpret workflow requirements and map them to GitHub Actions syntax, then commits or previews the generated YAML before execution.","intents":["I want to set up CI/CD without learning GitHub Actions YAML syntax","Create automated workflows from a simple English description of what I want to happen","Generate boilerplate GitHub Actions workflows for common tasks like testing, linting, or deployment"],"best_for":["solo developers and small teams unfamiliar with GitHub Actions YAML","non-technical contributors who need to set up automation","teams wanting to rapidly prototype CI/CD pipelines without syntax overhead"],"limitations":["Complex multi-conditional workflows may require manual YAML refinement after generation","Limited to GitHub Actions ecosystem — cannot generate workflows for other CI/CD platforms","Natural language ambiguity may produce workflows requiring human review before merge"],"requires":["GitHub repository with write access","GitHub Actions enabled on the repository","Maige account with GitHub OAuth integration"],"input_types":["natural language text","workflow intent descriptions"],"output_types":["GitHub Actions YAML workflow files","workflow preview/diff for review"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_1","uri":"capability://automation.workflow.repository.aware.workflow.context.injection","name":"repository-aware workflow context injection","description":"Analyzes the target GitHub repository structure, dependencies, and existing configuration to provide contextual workflow generation. The system likely scans repository metadata (package.json, requirements.txt, Dockerfile, existing workflows) to understand the project type and infer appropriate workflow steps, ensuring generated workflows align with the repository's actual tech stack and conventions.","intents":["Generate workflows that automatically detect and use my project's language and build tools","Create workflows that respect my existing repository configuration and dependencies","Avoid generating workflows with incompatible or redundant steps based on what's already in my repo"],"best_for":["teams with diverse tech stacks wanting consistent workflow generation","repositories with complex dependency chains or polyglot codebases","developers who want generated workflows to immediately work without customization"],"limitations":["May struggle with non-standard or custom build configurations not declared in standard files","Requires repository to be publicly readable or properly authenticated for analysis","Context injection adds latency to workflow generation (likely 1-3 seconds for repo analysis)"],"requires":["GitHub repository accessible via API","Standard configuration files (package.json, requirements.txt, etc.) for language detection","Maige API access to GitHub repository metadata"],"input_types":["repository URL or reference","natural language workflow intent"],"output_types":["context-aware GitHub Actions YAML","detected tech stack summary"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_10","uri":"capability://automation.workflow.multi.repository.workflow.synchronization","name":"multi-repository workflow synchronization","description":"Enables users to generate a workflow once and deploy it across multiple repositories with automatic customization for each repository's context. The system likely accepts a template workflow and applies repository-specific context (tech stack, dependencies, configuration) to generate tailored versions for each target repository, enabling consistent automation patterns across an organization.","intents":["Deploy the same workflow pattern to multiple repositories with automatic customization","Maintain consistent CI/CD practices across my organization's repositories","Update a workflow pattern across all repositories at once"],"best_for":["organizations with multiple repositories needing consistent automation","teams standardizing on workflow patterns across projects","enterprises managing large numbers of repositories"],"limitations":["Requires write access to all target repositories","Repository-specific customization may fail if context is ambiguous or missing","Bulk deployment may hit GitHub API rate limits","Synchronization requires careful coordination to avoid conflicts with repository-specific workflows"],"requires":["GitHub OAuth token with write access to multiple repositories","List of target repositories","Template workflow definition"],"input_types":["workflow template","list of target repositories","customization parameters"],"output_types":["customized workflows for each repository","deployment status for each repository","summary of changes across repositories"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_2","uri":"capability://automation.workflow.interactive.workflow.preview.and.refinement","name":"interactive workflow preview and refinement","description":"Provides a preview interface where users can review generated workflows before committing them to the repository, with the ability to request modifications through natural language feedback. The system likely implements a diff view showing proposed changes and accepts iterative refinement prompts to adjust the workflow without requiring direct YAML editing.","intents":["Review the generated workflow before it gets committed to my repository","Request changes to the workflow using natural language instead of editing YAML","See exactly what will be added to my repository and approve it step-by-step"],"best_for":["teams with strict code review requirements for automation changes","developers who want to understand what's being generated before deployment","organizations needing audit trails for workflow changes"],"limitations":["Multiple refinement iterations may exceed token budgets if using LLM-based modification","Complex YAML structures may not render clearly in preview interface","Refinement loop adds time to workflow creation process (typically 2-5 additional minutes per iteration)"],"requires":["Web browser with JavaScript support","GitHub account with repository write permissions","Maige UI session"],"input_types":["generated workflow YAML","natural language refinement requests"],"output_types":["workflow diff visualization","refined YAML ready for commit"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_3","uri":"capability://tool.use.integration.github.repository.integration.and.workflow.deployment","name":"github repository integration and workflow deployment","description":"Handles OAuth-based GitHub authentication, repository access, and automated workflow file creation/updates within the target repository. The system manages the full lifecycle of workflow deployment including branch creation, file writing, pull request generation, or direct commits based on user permissions and preferences, with proper error handling for authentication and permission failures.","intents":["Automatically create or update workflow files in my GitHub repository","Deploy workflows via pull request for team review or direct commit if I have permissions","Handle GitHub authentication securely without storing credentials"],"best_for":["individual developers with direct repository access","teams using pull request workflows for automation changes","organizations requiring audit trails of workflow modifications"],"limitations":["Requires OAuth scope permissions that may be restricted by organization policies","Cannot deploy to repositories where user lacks write access","GitHub API rate limits may throttle workflow deployment for high-volume operations","Branch protection rules may prevent direct commits, requiring PR-based deployment"],"requires":["GitHub account with OAuth authorization to Maige","Write access to target repository","GitHub API token with appropriate scopes (repo, workflow)"],"input_types":["repository reference","workflow YAML content","deployment preference (commit vs PR)"],"output_types":["committed workflow file","pull request URL","deployment status confirmation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_4","uri":"capability://planning.reasoning.workflow.intent.parsing.and.requirement.extraction","name":"workflow intent parsing and requirement extraction","description":"Parses natural language workflow descriptions to extract structured requirements including trigger conditions, job steps, environment variables, and dependencies. The system likely uses NLP or LLM-based parsing to identify key workflow components (e.g., 'run tests on every push', 'deploy to production on release tags') and maps them to GitHub Actions concepts like events, jobs, and steps.","intents":["Describe what I want my workflow to do in plain English and have it understood correctly","Specify complex workflow logic (conditionals, matrix builds, dependencies) without YAML syntax","Extract structured requirements from informal workflow descriptions"],"best_for":["non-technical stakeholders describing automation needs","teams documenting workflow requirements before implementation","rapid prototyping of workflow logic without syntax overhead"],"limitations":["Ambiguous natural language descriptions may be misinterpreted (e.g., 'run tests' could mean unit, integration, or e2e tests)","Complex conditional logic may require clarification or multiple refinement iterations","Specialized or custom GitHub Actions may not be recognized from natural language descriptions","Parsing accuracy depends on clarity and specificity of user input"],"requires":["Natural language input describing workflow intent","LLM or NLP service for intent parsing"],"input_types":["natural language text","workflow descriptions in any phrasing"],"output_types":["structured workflow requirements","extracted trigger conditions","identified job steps and dependencies"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_5","uri":"capability://automation.workflow.multi.step.workflow.orchestration.with.conditional.logic","name":"multi-step workflow orchestration with conditional logic","description":"Generates workflows with complex orchestration including conditional job execution, matrix builds, dependency chains, and environment-specific configurations. The system translates natural language descriptions of conditional logic (e.g., 'only deploy if tests pass') into GitHub Actions job dependencies, conditional expressions, and matrix strategies, enabling sophisticated automation patterns without manual YAML authoring.","intents":["Create workflows with conditional steps that only run under specific circumstances","Set up matrix builds across multiple OS or language versions","Define job dependencies so later steps only run if earlier ones succeed"],"best_for":["teams with complex CI/CD requirements (testing, building, deploying across environments)","projects requiring matrix builds or multi-platform testing","organizations needing environment-specific deployment logic"],"limitations":["Very complex conditional logic may exceed natural language expressiveness and require manual YAML refinement","Matrix builds with many combinations can significantly increase GitHub Actions billing","Circular dependencies or impossible conditions may not be detected until workflow execution","Nested conditionals may be difficult to express clearly in natural language"],"requires":["GitHub Actions support for job dependencies and conditionals","Clear natural language description of orchestration logic"],"input_types":["natural language workflow description","conditional logic specifications"],"output_types":["GitHub Actions YAML with jobs, dependencies, and conditionals","matrix strategy definitions"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_6","uri":"capability://automation.workflow.workflow.template.library.and.suggestions","name":"workflow template library and suggestions","description":"Maintains a library of common workflow patterns (testing, linting, deployment, security scanning) and suggests relevant templates based on repository analysis and user intent. The system likely indexes templates by language, framework, and use case, then recommends applicable patterns when generating workflows, potentially allowing users to start from templates rather than pure natural language generation.","intents":["Find workflow templates for common tasks like testing, linting, or deployment","Get suggestions for workflows based on my repository's tech stack","Start from a template and customize it rather than describing from scratch"],"best_for":["teams wanting to adopt best-practice workflow patterns","developers unfamiliar with GitHub Actions ecosystem","organizations standardizing on workflow templates across repositories"],"limitations":["Template library may not cover niche or specialized use cases","Templates may require customization for specific project requirements","Maintaining template library requires ongoing updates as tools and best practices evolve","Template suggestions depend on accurate repository analysis"],"requires":["Access to template library database","Repository metadata for template matching"],"input_types":["repository analysis results","user workflow intent","template search queries"],"output_types":["recommended workflow templates","template preview with customization options"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_7","uri":"capability://automation.workflow.workflow.validation.and.error.detection","name":"workflow validation and error detection","description":"Validates generated workflows for syntax errors, missing required fields, incompatible step combinations, and GitHub Actions API constraints before deployment. The system likely performs static analysis on generated YAML including schema validation, step compatibility checking, and detection of common misconfiguration patterns, providing actionable error messages to guide corrections.","intents":["Catch workflow errors before they're committed to the repository","Get clear error messages explaining what's wrong with a generated workflow","Validate that my workflow will actually work when GitHub Actions runs it"],"best_for":["teams wanting to prevent broken workflows from reaching production","developers unfamiliar with GitHub Actions constraints and requirements","organizations with strict quality gates for automation changes"],"limitations":["Validation cannot catch runtime errors that only appear during workflow execution","Custom GitHub Actions or third-party actions may not be fully validated","Some validation rules may be overly strict or produce false positives","Validation latency adds to workflow generation time (typically 500ms-2s)"],"requires":["GitHub Actions YAML schema definition","Knowledge of GitHub Actions constraints and best practices"],"input_types":["generated workflow YAML"],"output_types":["validation results","error messages with remediation suggestions","warnings for potential issues"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_8","uri":"capability://automation.workflow.workflow.execution.monitoring.and.feedback","name":"workflow execution monitoring and feedback","description":"Monitors deployed workflows as they execute on GitHub Actions and provides feedback on success/failure, execution time, and logs. The system likely polls GitHub Actions API for workflow run status, aggregates execution metrics, and surfaces relevant logs or error messages back to the user, potentially enabling workflow refinement based on actual execution results.","intents":["See if my generated workflow actually worked when it ran","Get notified if a workflow fails and understand why","Monitor workflow execution time and performance"],"best_for":["teams wanting visibility into workflow execution","developers debugging workflow failures","organizations tracking automation performance and reliability"],"limitations":["Monitoring depends on GitHub Actions API availability and rate limits","Log aggregation may be delayed due to GitHub Actions API latency","Cannot modify running workflows or provide real-time intervention","Feedback loop requires user to actively check status or receive notifications"],"requires":["GitHub API access to workflow runs and logs","GitHub OAuth token with appropriate scopes","Notification infrastructure (email, webhook, etc.) for alerts"],"input_types":["deployed workflow reference","GitHub Actions run ID"],"output_types":["workflow execution status","execution logs and error messages","performance metrics (duration, resource usage)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-maige__cap_9","uri":"capability://automation.workflow.workflow.history.and.version.management","name":"workflow history and version management","description":"Maintains a history of generated and deployed workflows with version tracking, allowing users to view previous versions, understand what changed, and potentially rollback to earlier workflow versions. The system likely stores workflow snapshots and metadata about generation parameters, enabling audit trails and easy recovery from problematic workflow changes.","intents":["See what workflows I've generated and when","Understand what changed between workflow versions","Rollback to a previous workflow version if the current one is broken"],"best_for":["teams with strict audit requirements for automation changes","organizations managing workflows across multiple repositories","developers wanting to learn from previous workflow generation attempts"],"limitations":["History storage requires database infrastructure and may incur costs","Rollback requires write access to repository and may conflict with subsequent changes","History may become cluttered if workflows are frequently regenerated","Version comparison may be difficult for complex YAML structures"],"requires":["Maige backend storage for workflow history","GitHub API access for rollback operations"],"input_types":["workflow version reference","repository reference"],"output_types":["workflow version list with timestamps","diff between versions","rollback confirmation"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["GitHub repository with write access","GitHub Actions enabled on the repository","Maige account with GitHub OAuth integration","GitHub repository accessible via API","Standard configuration files (package.json, requirements.txt, etc.) for language detection","Maige API access to GitHub repository metadata","GitHub OAuth token with write access to multiple repositories","List of target repositories","Template workflow definition","Web browser with JavaScript support"],"failure_modes":["Complex multi-conditional workflows may require manual YAML refinement after generation","Limited to GitHub Actions ecosystem — cannot generate workflows for other CI/CD platforms","Natural language ambiguity may produce workflows requiring human review before merge","May struggle with non-standard or custom build configurations not declared in standard files","Requires repository to be publicly readable or properly authenticated for analysis","Context injection adds latency to workflow generation (likely 1-3 seconds for repo analysis)","Requires write access to all target repositories","Repository-specific customization may fail if context is ambiguous or missing","Bulk deployment may hit GitHub API rate limits","Synchronization requires careful coordination to avoid conflicts with repository-specific workflows","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.32,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=maige","compare_url":"https://unfragile.ai/compare?artifact=maige"}},"signature":"OBx+M/YmgD7UIwLpFEEvFeoUnwqZVsKrrGU834mnYgblhMWLlrdJuR52zkVFNGuz0vWTf/R5pFmUXmj2gDN+Dg==","signedAt":"2026-06-22T09:16:16.903Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/maige","artifact":"https://unfragile.ai/maige","verify":"https://unfragile.ai/api/v1/verify?slug=maige","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"}}