Best fit
- 日本語翻訳：このファイルは netmiko-ssh-automation 用の日本語翻訳が必要です
affaan-m/ECC
netmiko-ssh-automation
日本語翻訳：このファイルは netmiko-ssh-automation 用の日本語翻訳が必要です
49Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/netmiko-ssh-automation"Automated source guide
Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Turn netmiko-ssh-automation's source instructions into a guide you can follow
According to the pinned SKILL.md from affaan-m/ECC: このファイルの翻訳は実装中です。英語版は元のスキルファイルを参照してください。
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/netmiko-ssh-automation"Bring this context
- A concrete task that matches the documented purpose of netmiko-ssh-automation.
- The files, examples, or context the task depends on.
- Your constraints, target environment, and definition of done.
Expected outputs
- A result that follows the pinned netmiko-ssh-automation instructions.
- A concise record of assumptions, inputs used, and unresolved questions.
- A final check against the source workflow and relevant permission signals.
Key source sections
Read netmiko-ssh-automation through these 1 source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
Read the pinned source
Review the complete netmiko-ssh-automation SKILL.md because no stable section structure was detected automatically.
Confirm the task matches the documented purposeIdentify required inputs and constraints
SkillSignal prompt templates
Provide the task, context, and acceptance criteria
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use netmiko-ssh-automation to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned netmiko-ssh-automation source to [task]. Pay particular attention to these source sections: the pinned SKILL.md. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current netmiko-ssh-automation result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
Verify each item before delivery
The task matches the purpose documented in the SKILL.md.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
When another Skill is the better fit
netmiko-ssh-automation
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detaildesign-review
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detaildask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
What does netmiko-ssh-automation do?
このファイルの翻訳は実装中です。英語版は元のスキルファイルを参照してください。
How do I start using netmiko-ssh-automation?
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/netmiko-ssh-automation". Inspect the command and pinned source before running it.
Which Agent platforms does it declare?
No dedicated Agent platform is declared in the pinned source record.
Repository stars
234,327
Repository forks
35,711
Quality
49/100
Source repository last pushed
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Documentation7/30
Specificity10/25
Maintenance20/20
Trust signals12/25
Compare before choosing
Related Agent Skills and source variants
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
netmiko-ssh-automation by affaan-m
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling.
design-review by event4u-app
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
dask by k-dense-ai
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
medchem by k-dense-ai
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
neurokit2 by k-dense-ai
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 1 min
netmiko-ssh-automation - 日本語翻訳進行中
このファイルの翻訳は実装中です。英語版は元のスキルファイルを参照してください。
詳細は：D:/tmp/everything-claude-code/skills/netmiko-ssh-automation/SKILL.md
- Source repo
- affaan-m/ECC
- Skill path
- docs/ja-JP/skills/netmiko-ssh-automation/SKILL.md
- Commit SHA
- 4e973d3eaf92
- Repository license
- MIT
- Data collected