Plugins
8 plugins@brycewang-stanford
CAV Skills
Twelve CAV-specific skills for the International Conference on Computer Aided Verification and its Springer LNCS open-access proceedings, grounded in the CAV 2026 (FLoC, Lisbon) call, the LNCS proceedings, i-cav.org, and dblp.
2 skills · plugin
@brycewang-stanford
FSE Skills
Twelve FSE-specific skills for the ACM Foundations of Software Engineering conference and its PACMSE journal-style publication model, grounded in the FSE 2026/2027 researchr calls, PACMSE journal pages, ACM Digital Library, and dblp.
2 skills · plugin
@brycewang-stanford
VIS Skills
Twelve IEEE VIS-specific skills for the IEEE Visualization Conference and its journal-integrated IEEE TVCG publication model, grounded in the IEEE VIS 2026 call, ieeevis.org, IEEE Xplore/TVCG, the Precision Conference System, and dblp.
2 skills · plugin
@brycewang-stanford
IMC Skills
Twelve IMC-specific skills for the ACM Internet Measurement Conference, the SIGCOMM-sponsored empirical measurement flagship, grounded in the IMC 2026 call for papers, submission instructions, committees page, SIGCOMM/IMC event pages, the ACM Digital Library, and dblp.
2 skills · plugin
@brycewang-stanford
HRI Skills
Twelve HRI-specific skills for the ACM/IEEE International Conference on Human-Robot Interaction and its interdisciplinary, human-subjects-centered evidence culture, grounded in the HRI 2026/2027 calls, humanrobotinteraction.org, the ACM Digital Library, IEEE Xplore, and dblp.
2 skills · plugin
@brycewang-stanford
ASE Skills
Twelve ASE-specific skills for the IEEE/ACM International Conference on Automated Software Engineering and its automated-SE research track, grounded in the ASE 2025/2026 researchr calls, the ase26.hotcrp.com submission site, IEEE Xplore, the ACM Digital Library, and dblp.
3 skills · plugin
@brycewang-stanford
ATC Skills
Twelve ATC-specific skills for the ACM SIGOPS Annual Technical Conference (formerly the USENIX Annual Technical Conference), grounded in the ATC 2026 SIGOPS call for papers, the USENIX ATC '25 research and artifact pages, the USENIX to SIGOPS transition record, and dblp.
2 skills · plugin
@brycewang-stanford
DAC Skills
Twelve DAC-specific skills for the ACM/IEEE Design Automation Conference (the Chips to Systems Conference) and its double-blind Research Manuscript track, grounded in the DAC 2026 (63rd) call, dac.com, IEEE CEDA, ACM SIGDA, the ACM Digital Library, and dblp.
2 skills · plugin
Results for “dblp”
17 skills
shulkwisec Web LLM Attacks Deep Dive
Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques
21 · bundle
jackychenlu Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
0 · bundle
q2805187159 Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
3 · bundle
rbutinar Powerbi Directlake Create
Scaffold a New DirectLake Semantic Model (TMDL) (preview)
0
tianhao909 Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
1 · bundle
gabrielmoreira Bgpt MCP
Search scientific papers via the BGPT MCP server and retrieve structured experimental data — methods, results, conclusions, quality scores, and 25+ metadata fields per paper.
17 · bundle
rbutinar Powerbi Model Create
Scaffold a New Power BI Semantic Model (TMDL)
0
ichichuang Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
0 · bundle
bog5d Dspy
DSPy: declarative LM programs, auto-optimize prompts, RAG.
0 · bundle
jarbitechture Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming. Use when you need to build complex AI systems, program LMs declaratively, optimize prompts automatically, create modular AI pipelines, or build RAG systems and agents.
0 · bundle
peteedoo Dspy
DSPy: declarative LM programs, auto-optimize prompts, RAG.
0 · bundle
danstrem2 Context7
Context7 MCP - Intelligent documentation search and context for any library
2 · bundle
24601 Surrealmcp
Connects AI agents to SurrealDB via built-in MCP (SurrealDB 3.1+) or standalone surrealmcp for database operations.
34
aniruddhaadak80 Dspy
DSPy: declarative LM programs, auto-optimize prompts, RAG.
0 · bundle
ssrjkk Haystack
Builds NLP pipelines with Haystack for document search, QA, and LLM-powered applications.
2 · bundle
peteedoo Axolotl
Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).
0 · bundle
qcmuu Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
0 · bundle