Connect
ComposioHQ/awesome-claude-skills
Connect Claude to any app. An agent skill from ComposioHQ/awesome-claude-skills.
Systematic network troubleshooting - connectivity, routing, interface, protocol, and performance issues using structured OSI-layer and divide-and-conquer methodology, via direct CLI/pyATS access.
$ npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install automateyournetwork/netclaw pyats-troubleshoot --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/pyats-troubleshoot .claude/skills/pyats-troubleshoot && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pyats-troubleshoot" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshoot into .claude/skills/pyats-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-troubleshoot", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshootType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install automateyournetwork/netclaw pyats-troubleshoot --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/pyats-troubleshoot .agents/skills/pyats-troubleshoot && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pyats-troubleshoot" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshoot into .agents/skills/pyats-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-troubleshoot", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install automateyournetwork/netclaw pyats-troubleshoot --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/pyats-troubleshoot .cursor/skills/pyats-troubleshoot && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pyats-troubleshoot" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshoot into .cursor/skills/pyats-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-troubleshoot", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/automateyournetwork/netclaw.git --path workspace/skills/pyats-troubleshoot--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install automateyournetwork/netclaw pyats-troubleshoot --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/pyats-troubleshoot .gemini/skills/pyats-troubleshoot && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pyats-troubleshoot" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshoot into .gemini/skills/pyats-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-troubleshoot", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install automateyournetwork/netclaw pyats-troubleshootInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/pyats-troubleshoot .github/skills/pyats-troubleshoot && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pyats-troubleshoot" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshoot into .github/skills/pyats-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-troubleshoot", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install automateyournetwork/netclaw pyats-troubleshoot --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/pyats-troubleshoot .opencode/skills/pyats-troubleshoot && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pyats-troubleshoot" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-troubleshoot into .opencode/skills/pyats-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-troubleshoot", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pyats-troubleshootSystematic network troubleshooting - connectivity, routing, interface, protocol, and performance issues using structured OSI-layer and divide-and-conquer methodology, via direct CLI/pyATS access.
Pyats Troubleshoot is an agent skill from automateyournetwork/netclaw. Systematic network troubleshooting - connectivity, routing, interface, protocol, and performance issues using structured OSI-layer and divide-and-conquer methodology, via direct CLI/pyATS access. Use when something is broken, a device is unreachable, a link is flapping, users report slow performance, or an OSPF/BGP adjacency is down. For a device managed by Catalyst Center, start with catc-troubleshoot's controller/assurance view instead. Once a fault is isolated to routing specifically, pyats-routing covers…
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit aa90e7d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pyats Troubleshoot loads about 4.2k tokens when it runs. Until then it costs about 148 tokens; SKILL.md has 1,335 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from automateyournetwork/netclaw at commit aa90e7d, republished under its Apache-2.0 licence (© automateyournetwork). 1,335 words, ~4,181 tokens.
.claude/skills/pyats-troubleshoot/SKILL.md (or your agent's skills folder).PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show interfaces"}'Check:
no shutdown neededPYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show arp"}'Check:
Incomplete ARP entries → destination not responding on the segment# Check local interface has correct IP
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip interface brief"}'
# Check routing table for destination
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip route"}'
# Ping the destination
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_ping_from_network_device '{"device_name":"R1","command":"ping 10.0.0.1"}'L3 troubleshooting decision tree:
show ip route <destination>Advanced ping options:
# Ping with specific source
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_ping_from_network_device '{"device_name":"R1","command":"ping 10.0.0.1 source Loopback0"}'
# Ping with larger packet size (test MTU)
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_ping_from_network_device '{"device_name":"R1","command":"ping 10.0.0.1 size 1500 df-bit"}'
# Extended ping with repeat count
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_ping_from_network_device '{"device_name":"R1","command":"ping 10.0.0.1 repeat 100 source Loopback0"}'# Check ACLs that might be blocking traffic
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip access-lists"}'
# Check NAT translations
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip nat translations"}'ACL troubleshooting:
deny any at the end of every ACLPYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip ospf neighbor"}'
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip ospf interface"}'OSPF adjacency troubleshooting checklist:
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip bgp summary"}'
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip bgp neighbors"}'BGP adjacency troubleshooting checklist:
update-source configured correctly? (iBGP typically uses Loopback)ebgp-multihop needed? (if eBGP peer is not directly connected)neighbor X activate present under the correct address-family?neighbor X shutdown)show ip bgp neighbors for error codesBGP NOTIFICATION error codes:
| Code | Meaning |
|---|---|
| 1 - Message Header Error | Malformed packet |
| 2 - OPEN Message Error | Capability mismatch, bad AS, bad hold time |
| 3 - UPDATE Message Error | Malformed UPDATE, invalid path attribute |
| 4 - Hold Timer Expired | Peer stopped sending KEEPALIVEs |
| 5 - FSM Error | Unexpected state transition |
| 6 - Cease | Administrative shutdown, max-prefix exceeded, peer deconfigured |
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show processes cpu sorted"}'
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show processes memory sorted"}'PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show interfaces"}'Look for:
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show policy-map interface"}'Check: Class drops, queue depths, policing rates.
Is traffic taking the expected path?
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip route 10.0.0.1"}'Is traffic taking a suboptimal path through a slower link? Check metrics, AD values, and path selection.
Symptoms: incrementing TTL-exceeded counters, packets bouncing between two routers.
# Check for TTL exceeded ICMP messages
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_show_logging '{"device_name":"R1"}'Trace the route: check the next-hop for the destination on each router in the path. If router A points to B and B points back to A → routing loop.
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_show_logging '{"device_name":"R1"}'
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show interfaces"}'Common causes of interface flapping:
Logs to look for:
%LINEPROTO-5-UPDOWN — interface state transitions with timestamps%LINK-3-UPDOWN — physical link state changesWhen NetBox is available ($NETBOX_MCP_SCRIPT is set), query the source of truth during investigation to validate expected state vs reality:
python3 $MCP_CALL "python3 -u $NETBOX_MCP_SCRIPT" netbox_get_objects '{"object_type":"dcim.interfaces","filters":{"device":"R1"},"brief":true}'Use during troubleshooting:
python3 $MCP_CALL "python3 -u $NETBOX_MCP_SCRIPT" netbox_get_objects '{"object_type":"dcim.cables","filters":{"device":"R1"}}'Compare: If CDP/LLDP shows a different neighbor than NetBox documents, the physical topology may have changed without being updated — flag for investigation.
python3 $MCP_CALL "python3 -u $NETBOX_MCP_SCRIPT" netbox_get_objects '{"object_type":"ipam.ip-addresses","filters":{"device":"R1"}}'Compare: Flag IP_DRIFT if device IP differs from NetBox. This is often the root cause of "can't reach X" tickets when someone changed an IP without updating the source of truth.
When troubleshooting spans multiple devices (e.g., connectivity between R1 and R4 traversing R2 and R3), collect state from ALL suspect hops simultaneously rather than one at a time:
First, list all devices to identify the path:
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_list_devicesThen run the same show commands on ALL hops concurrently. For example, for a connectivity loss between R1 and R4:
Run these commands on R1, R2, R3, and R4 simultaneously:
show ip interface brief — interface state on every hopshow ip route <destination> — does each hop have a route?show ip arp — is next-hop reachable at L2?show ip ospf neighbor or show ip bgp summary — adjacency stateBenefit: Instead of spending 4 sequential rounds (one per device), you get the complete picture in a single parallel pass. This lets you immediately identify where in the path the failure occurs.
When an OSPF or BGP adjacency is down, always check BOTH ends simultaneously:
# Run on BOTH peers at the same time
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip ospf neighbor"}'
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R2","command":"show ip ospf neighbor"}'Compare: timer mismatches, area mismatches, authentication failures, and MTU issues require data from both ends to diagnose.
After collecting parallel state, sort findings by severity for triage:
┌──────────┬────────────────────────┬──────────┐
│ Device │ Finding │ Severity │
├──────────┼────────────────────────┼──────────┤
│ R2 │ No route to 10.4.0.0/24│ CRITICAL │
│ R3 │ Gi2 down/down │ CRITICAL │
│ R1 │ ARP incomplete for NH │ HIGH │
│ R4 │ All interfaces up │ HEALTHY │
└──────────┴────────────────────────┴──────────┘
Root cause: R3 Gi2 is down → R2 lost its route via R3 → R1 can't ARP for an unreachable next-hop.After completing a troubleshooting session, record findings and resolution in GAIT:
python3 $MCP_CALL "python3 -u $GAIT_MCP_SCRIPT" gait_record_turn '{"user_text":"Example only: replace with the actual authorized request.","assistant_text":"Troubleshooting: Connectivity loss R1→R4. Root cause: R3 Gi2 down/down (cable fault). Resolution: Escalated to field team for cable replacement. Verified routing reconverged via alternate path R1→R2→R5→R4.","artifacts":[]}'| What to Check | Command |
|---|---|
| Interface status | show ip interface brief |
| Interface details | show interfaces <name> |
| Routing table | show ip route |
| Specific route | show ip route <ip> |
| OSPF neighbors | show ip ospf neighbor |
| BGP summary | show ip bgp summary |
| EIGRP neighbors | show ip eigrp neighbors |
| ARP table | show arp |
| ACLs with hit counts | show ip access-lists |
| NAT translations | show ip nat translations |
| CPU usage | show processes cpu sorted |
| Memory usage | show processes memory sorted |
| System logs | use pyats_show_logging tool |
| Running config | use pyats_show_running_config tool |
| Connectivity test | use pyats_ping_from_network_device tool |
GAIT_MCP_SCRIPT, NETBOX_MCP_SCRIPT, PYATS_MCP_SCRIPT, PYATS_TESTBED_PATH are set and valid before assuming a data or device problem.Audit examples are illustrative. Replace request, outcomes, identifiers and counts
with observed session evidence; do not record these example results as facts.
Inspect MCP isError, returned ok, and the recorded turn with gait_show when
validating a new client/schema. Follow gait-session-tracking for branch checkout.
© automateyournetwork, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in workspace/skills/pyats-troubleshoot of automateyournetwork/netclaw.
Open the folder on GitHubat commit aa90e7d
Pyats Troubleshoot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pyats Troubleshoot this skillautomateyournetwork/netclaw | 676 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| ConnectComposioHQ/awesome-claude-skills | 77k | 3 repos | ~987 | Automated safety check: Pass | None | |
| Node Connectopenclaw/openclaw | 392k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Network Interface Healthaffaan-m/ECC | 277k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Openwork Connectdifferent-ai/openwork | 24k | — | ~370 | Automated safety check: Pass | Custom licence | |
| Startup It Troubleshootingsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.6k | Automated safety check: Notes | MIT |
ComposioHQ/awesome-claude-skills
Connect Claude to any app. An agent skill from ComposioHQ/awesome-claude-skills.
openclaw/openclaw
Diagnose OpenClaw Control UI browser and native Android, iOS, or macOS node connection failures across route, auth, pairing, QR/setup-code, and reconnect states.
affaan-m/ECC
Diagnose interface errors, drops, CRCs, duplex mismatches, flapping, speed negotiation issues, and counter trends on routers, switches, and Linux hosts.
different-ai/openwork
Search and use the skills, MCP connections, and connected services available through the user's OpenWork organization.
sickn33/agentic-awesome-skills
Practical IT troubleshooting playbooks for small teams without dedicated IT staff.
sickn33/agentic-awesome-skills
Build a Connection Auth Rules for a Monte Carlo connection type.
automateyournetwork/netclaw
Entry point for designing EVE-NG network labs: classifies the request, gathers missing requirements, proposes options and validates the resulting topology.
automateyournetwork/netclaw
Deploys Cisco ACI policy changes only behind an approved ServiceNow Change Request, capturing pre and post-change fault baselines and rolling back automatically on a fault delta.
automateyournetwork/netclaw
Runs a phased health audit of a Cisco ACI fabric through MCP tools: node status, links, tenant and policy review, faults and endpoint learning.
automateyournetwork/netclaw
Validate Arista EOS network state against ANTA's pre-built 208-test catalogue, with structured pass/fail verdicts.
automateyournetwork/netclaw
Arista CloudVision Portal (CVP) automation via REST API — device inventory, events, connectivity monitoring, tag management (4 tools).
automateyournetwork/netclaw
AWS CloudWatch monitoring — metrics, alarms, log queries, VPC flow log analysis, network performance.
Systematic network troubleshooting - connectivity, routing, interface, protocol, and performance issues using structured OSI-layer and divide-and-conquer methodology, via direct CLI/pyATS access. Pyats Troubleshoot is an agent skill from automateyournetwork/netclaw. Systematic network troubleshooting - connectivity, routing, interface, protocol, and performance issues using structured OSI-layer and divide-and-conquer methodology, via direct CLI/pyATS access.
Pyats Troubleshoot fits situations like: something is broken; A device is unreachable; A link is flapping; users report slow performance.
Run `npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a claude-code`. Or copy the skill folder (workspace/skills/pyats-troubleshoot in automateyournetwork/netclaw) into .claude/skills/pyats-troubleshoot in your project. Claude Code loads it when a task matches its description.
Run `npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a codex`. Or copy the skill folder (workspace/skills/pyats-troubleshoot in automateyournetwork/netclaw) into .agents/skills/pyats-troubleshoot in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill pyats-troubleshoot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pyats-troubleshoot, .gemini/skills/pyats-troubleshoot, .github/skills/pyats-troubleshoot and .opencode/skills/pyats-troubleshoot in your project.
Going by SKILL.md and its folder, Pyats Troubleshoot needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Pyats Troubleshoot is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pyats Troubleshoot: Connect (ComposioHQ/awesome-claude-skills, 77k stars), Node Connect (openclaw/openclaw, 392k stars), Network Interface Health (affaan-m/ECC, 277k stars) and Openwork Connect (different-ai/openwork, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 676 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 9, 2026.
Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.