GitHub user
Agent skills by BLANK2077
- skills
- 5
- repository
- 1
Repositories by BLANK2077
Skills by BLANK2077, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.X Npi 当 AI agent 需要使用 Synopsys pynpi 编写 Python 脚本，进行批量 FSDB 波形统计、值扫描、APB/AXI/valid-ready stream 协议分析、VCS/Verdi coverage database 查询，或静态设计 driver/load 查询时使用。离线大规模分析脚本和报告优先使用本 skill；xdebug 风格的实时… | BLANK2077/ | 107 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 2 | 当 AI agent 需要定位 SystemVerilog/UVM 验证问题、重新编译代价过高或不允许再次编译，并需要直接通过终端 PTY 使用 Synopsys VCS UCLI 或 Cadence Xcelium/Xrun Tcl 实时调试正在运行的仿真时使用，包括断点、Ctrl-C 暂停、运行时变量查询和控制流。若已有仿真 log 已足以定位问题，则不使用本 skill。 | BLANK2077/ | 107 | — | ~590 | Automated safety check: Pass | MIT | today |
| 3 | 3.Xwiki 当 AI agent 需要在芯片验证任务中复用持续记忆时使用：查询或维护由 XWIKIDIR 指向的验证项目 LLM wiki，了解验证环境、DUT 功能、 接口、testbench、sequence、checker、coverage、workflow、debug 入口、 BT/IT/ST/SoC 项目上下文，并在用户明确要求、项目 AGENTS.md 授权或任务明确… | BLANK2077/ | 107 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 4 | 4.Xverif 用于芯片验证中的确定性事实查询和计算：daidir/FSDB debug、coverage、 SystemVerilog bit 计算、entry 解码、日志位置恢复、SVA 解释和波形渲染。 | BLANK2077/ | 107 | — | ~931 | Automated safety check: Pass | MIT | today |
| 5 | 用于 xverif 的安装配置、MCP direct/LSF backend、ssh 远端 MCP（mcpssh）、 SDK-free LSF CLI、UDS/TCP/file transport、session tombstone/gc、timeout、 环境变量、license 和 server 启动排障。普通波形、coverage、bit 或协议查询使用 xverif。 | BLANK2077/ | 107 | — | ~428 | Automated safety check: Pass | MIT | today |
Questions, answered from the data.
What is the best skill by BLANK2077?
X Npi from BLANK2077/xverif ranks first of the 5 skills by BLANK2077 listed here, with the highest score: its repository has 107 GitHub stars, its SKILL.md loads about 1.4k tokens and it passes the automated safety check with no findings. Next come Xsimdebug and Xwiki.
Are BLANK2077's skills official?
None yet. All 5 skills by BLANK2077 listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.