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Aminer daily paper

Skill ploteddie-bit/skills/aminer-daily-paper

Collection de compétences agentiques modulables pour Kimi, Aegis et assistants IA

Install

npx -y skills add ploteddie-bit/skills --skill aminer-daily-paper

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What its author says it does

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Get personalized academic paper recommendations. Activate whenever the user asks for paper recommendations — explicit command (/aminer-dp) or natural language (e.g. 'recommend me papers on RAG', 'suggest recent papers on multimodal agents'). Workflow: extract topics / author / aminer_author_id from the input, invoke scripts/recommend.py, return results as Markdown.

SKILL.md

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aminer-daily-paper

Personalized academic paper recommendation.

When to activate

Any time the user asks for paper recommendations:

Explicit command: /aminer-dp, /aminer-dp topics: RAG, multimodal agents
Natural language: recommend me recent papers on multimodal agents, suggest some papers on tool-use, I work on RAG, give me a few papers

Input parsing (done by the model)

Before calling the script, extract from the user input:

Field	Description
`topics`	Research topics, 1–3 closely related terms work best
`author_name`	Scholar name
`author_org`	Scholar institution (improves disambiguation)
`aminer_author_id`	AMiner scholar ID (24-char hex)
`size`	Number of papers, default 5, max 20
`language_sort`	`zh` or `en`, optional

At least one of topics / author_name / aminer_author_id should be provided.

Call strategy

Scenario	Strategy
Single topic or scholar	1 call, `size=5`
User specifies a number	1 call, honor the number (max 20)
Multiple distinct topics	1 call per topic group, `size=3–5` each, ~15 papers total
Broad request with no topics	1 call, `size=5`

Execution

The script reads .z-ai-config (JSON) following the z-ai-web-dev-sdk convention, searching in this order:

./.z-ai-config (cwd)
~/.z-ai-config (home)
/etc/.z-ai-config (system)

Required fields: baseUrl, apiKey, token (JWT for X-Token). Optional: chatId, userId.

python3 "{baseDir}/scripts/recommend.py" \
  [--topic "multimodal agents"] \
  [--topic "tool-use"] \
  [--author-name "Jie Tang"] \
  [--author-org "Tsinghua University"] \
  [--aminer-author-id "696259801cb939bc391d3a37"] \
  [--size 5] \
  [--language-sort zh]

The script POSTs to ${baseUrl}/functions/invoke with headers Authorization: Bearer ${apiKey}, X-Z-AI-From: Z, and X-Token: ${token} (plus optional X-Chat-Id / X-User-Id), and prints the paper list as Markdown.

Output handling

On success, the script prints a Markdown paper list — forward it directly to the user.
On non-zero exit, stderr contains the error — relay it concisely to the user.

Error handling

API returns an error → relay the error; do not switch to another skill.
No results → suggest the user broaden topics or adjust the query.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.