{"id":"b1rdmania-hinge-profile-optimizer","name":"hinge-profile-optimizer","homepage":null,"repo_url":"https://github.com/b1rdmania/hinge-profile-optimizer","category":"ai-ml","subcategories":[],"tags":["ai-ml","dating","productivity","claude-skill","writing","recruitment-marketing-copy"],"what_it_does":"Provides a structured, research-backed guided process (packaged as Claude Skill content) to help a user audit and improve their Hinge dating profile: questions/interview to discover the user’s voice, photo strategy, prompt/copy writing, settings cleanup, and guidance for implementing changes over subsequent weeks.","use_cases":["Improving the quality and specificity of Hinge prompts and profile copy","Finding a user’s distinctive stories, humor, and interests for use in dating prompts","Photo evaluation and ordering guidance for a dating profile","Step-by-step assistance to update Hinge settings and roll out improvements over time"],"not_for":["Automating access to your Hinge account (no account integration is described)","Guaranteeing outcomes on dating platforms","Providing clinical/mental health counseling"],"best_when":"You can use an LLM-driven workflow (Claude Desktop/Claude.ai/Claude Code) and want a guided process rather than generic copy-paste dating tips.","avoid_when":"You need an API/SDK to programmatically update profiles, or you want deterministic/fully verifiable outputs without reliance on an external AI model.","alternatives":["Generic dating profile writing guides (blog templates)","Dating coach consultations","Other LLM-based “prompt engineering” approaches for profile copy without a structured multi-phase skill","Manual profile reviews and A/B testing of prompts/photos"],"af_score":32.0,"security_score":27.0,"reliability_score":18.8,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:38:17.640192+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No programmatic service/API is exposed. Usage is described as content added to Claude (local/desktop or browser chat), so there is no stated authentication scheme for this package itself."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Repository and skill content are MIT-licensed; pricing for Claude/any paid LLM usage is not specified here."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":32.0,"security_score":27.0,"reliability_score":18.8,"mcp_server_quality":0.0,"documentation_accuracy":65.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":50.0,"auth_strength":20.0,"scope_granularity":0.0,"dependency_hygiene":40.0,"secret_handling":30.0,"security_notes":"No direct network integration is described; security mainly concerns how users/agents handle sensitive personal dating/profile information shared with the LLM. The repository content does not describe data handling, retention, or logging practices, and there is no programmatic auth/scopes model.","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":30.0,"error_recovery":10.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["This is not an API/tool; it is instructional content for an LLM (skill prompt files). Agents must still drive the conversation and collect user answers.","No structured machine-readable I/O contract is provided in the excerpt, so agent orchestration may be less deterministic.","User-provided dating profile details are sensitive; agents should minimize retention and avoid logging personal content."]}}