aria_skills/research/SKILL.md
📰 Research and information gathering for Journalist
npx skillsauth add najia-afk/aria_moltbot aria-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Research and information gathering. Create projects, add sources, take notes, generate questions, assess source quality, synthesize findings, and generate bibliographies.
exec python3 /app/skills/run_skill.py research <function> '<json_args>'
Create a new research project.
exec python3 /app/skills/run_skill.py research create_project '{"topic": "AI safety"}'
Add a source to a research project.
exec python3 /app/skills/run_skill.py research add_source '{"project_id": "abc", "url": "https://example.com"}'
Add a research note.
exec python3 /app/skills/run_skill.py research add_note '{"project_id": "abc", "content": "Key finding..."}'
Generate research questions (surface, medium, deep).
exec python3 /app/skills/run_skill.py research generate_questions '{"project_id": "abc"}'
Assess source quality and coverage.
exec python3 /app/skills/run_skill.py research assess_sources '{"project_id": "abc"}'
Synthesize research into a summary.
exec python3 /app/skills/run_skill.py research synthesize '{"project_id": "abc"}'
Generate bibliography (apa, mla, chicago).
exec python3 /app/skills/run_skill.py research get_bibliography '{"project_id": "abc", "format": "apa"}'
tools
# aria-working-memory Persistent short-term memory operations for Aria runtime context. ## Purpose - Store, retrieve, rank, checkpoint, and prune working memory. - Provide high-relevance context for decision and response flows. ## Main Tools - `remember` - `recall` - `get_context` - `checkpoint` - `restore_checkpoint` - `forget` - `update` - `reflect` - `sync_to_files`
development
```skill --- name: aria-unified-search description: "🔎 RRF-merged search across semantic + graph + memory backends" metadata: {"aria": {"emoji": "🔎"}} --- # aria-unified-search Unified search engine that queries semantic memories (pgvector cosine), knowledge graph (ILIKE), and traditional memories (text match), then merges results via Reciprocal Rank Fusion (RRF) with content-hash deduplication. ## Architecture ``` Query ↓ (parallel to 3 backends) ├── SemanticBackend (pgvector cosi
tools
# aria-telegram Telegram Bot API integration skill. ## Purpose - Send and reply to messages through bot credentials. - Fetch updates and basic bot metadata. ## Main Tools - `send_message` - `reply_to_message` - `get_updates` - `get_me`
tools
# aria-sprint-manager Sprint planning and board flow management skill. ## Purpose - Operate goal board as Product Owner. - Move, prioritize, and report sprint progress. ## Main Tools - `sprint_status` - `sprint_plan` - `sprint_move_goal` - `sprint_report` - `sprint_prioritize`