Build a literature review map
Organize supplied papers into themes, methods, findings, and research gaps.
Search academic papers and scholarly articles via AIsa Scholar endpoint. Supports year range filtering for targeted research. Use when: the user needs web search, research, source discovery, or content extraction.
--- name: scholar-search description: 'Search academic papers and scholarly articles via AIsa Scholar endpoint. Supports year range filtering for targeted research. Use when: the user needs web search, research, source discovery, or content extraction.' compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one. metadata: author: AIsa version: 1.0.0 homepage: https://aisa.one repository: https://github.com/baofeng-tech/agent-skills tags: x,search,research,aisa platforms: agentskills.io,agentskill.sh,github primary_env: AISA_API_KEY allowed-tools: Read Bash Grep --- # AIsa Scholar Search Search academic papers and scholarly articles using the AIsa Scholar Search endpoint. Ideal for finding peer-reviewed research, conference papers, and citations. Supports year range filtering. ## Setup This skill requires the `AISA_API_KEY` environment variable. When installed as a Claude plugin, the key is configured via the environment variables. ## Usage Run the search client with the `scholar` subcommand: ```bash python3 scripts/search_client.py scholar --query "<academic query>" --count <max_results> [--year-from YYYY] [--year-to YYYY] ``` ### Arguments | Argument | Required | Default | Description | |----------|----------|---------|-------------| | `--query` / `-q` | Yes | — | Academic search query | | `--count` / `-c` | No | 10 | Maximum number of results (1–100) | | `--year-from` | No | — | Year lower bound (e.g., 2023) | | `--year-to` | No | — | Year upper bound (e.g., 2026) | ### Examples ```bash # Search for recent transformer papers python3 scripts/search_client.py scholar --query "transformer architecture attention mechanism" --count 10 --year-from 2024 # Search papers in a specific year range python3 scripts/search_client.py scholar --query "reinforcement learning from human feedback" --year-from 2022 --year-to 2025 ``` ## Output The script prints structured academic results including: - **Title** — Paper title - **URL** — Link to the paper or abstract - **Publication info** — Journal, conference, or preprint source - **Snippet** — Abstract excerpt ## When to Use Use this skill when the user needs academic papers, scholarly articles, research citations, or peer-reviewed sources. Best for literature reviews, citation lookups, and academic research tasks.--- name: scholar-search description: 'Search academic papers and scholarly articles via AIsa Scholar endpoint. Supports year range filtering for targeted research. Use when: the user needs web search, research, source discovery, or content extraction.' compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one. metadata: author: AIsa version: 1.0.0 homepage: https://aisa.one repository: https://github.com/baofeng-tech/agent-skills tags: x,search,research,aisa platforms: agentskills.io,agentskill.sh,github primary_env: AISA_API_KEY allowed-tools: Read Bash Grep --- # AIsa Scholar Search Search academic papers and scholarly articles using the AIsa Scholar Search endpoint. Ideal for finding peer-reviewed research, conference papers, and citations. Supports year range filtering. ## Setup This skill requires the `AISA_API_KEY` environment variable. When installed as a Claude plugin, the key is configured via the environment variables. ## Usage Run the search client with the `scholar` subcommand: ```bash python3 scripts/search_client.py scholar --query "<academic query>" --count <max_results> [--year-from YYYY] [--year-to YYYY] ``` ### Arguments | Argument | Required | Default | Description | |----------|----------|---------|-------------| | `--query` / `-q` | Yes | — | Academic search query | | `--count` / `-c` | No | 10 | Maximum number of results (1–100) | | `--year-from` | No | — | Year lower bound (e.g., 2023) | | `--year-to` | No | — | Year upper bound (e.g., 2026) | ### Examples ```bash # Search for recent transformer papers python3 scripts/search_client.py scholar --query "transformer architecture attention mechanism" --count 10 --year-from 2024 # Search papers in a specific year range python3 scripts/search_client.py scholar --query "reinforcement learning from human feedback" --year-from 2022 --year-to 2025 ``` ## Output The script prints structured academic results including: - **Title** — Paper title - **URL** — Link to the paper or abstract - **Publication info** — Journal, conference, or preprint source - **Snippet** — Abstract excerpt ## When to Use Use this skill when the user needs academic papers, scholarly articles, research citations, or peer-reviewed sources. Best for literature reviews, citation lookups, and academic research tasks.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.