Azure Smart City Iot Solution Builder
github/awesome-copilot
Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.
Operate a caller-selected Gas City 1.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts.
$ npx skills add boshu2/agentops --skill using-gc -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install boshu2/agentops using-gc --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/boshu2/agentops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packs/agentops-executor/skills/using-gc .claude/skills/using-gc && 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 "using-gc" agent skill from https://github.com/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gc into .claude/skills/using-gc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "using-gc", 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/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gcType 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 boshu2/agentops --skill using-gc -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install boshu2/agentops using-gc --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boshu2/agentops.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packs/agentops-executor/skills/using-gc .agents/skills/using-gc && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "using-gc" agent skill from https://github.com/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gc into .agents/skills/using-gc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "using-gc", 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 boshu2/agentops --skill using-gc -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install boshu2/agentops using-gc --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boshu2/agentops.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packs/agentops-executor/skills/using-gc .cursor/skills/using-gc && 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 "using-gc" agent skill from https://github.com/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gc into .cursor/skills/using-gc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "using-gc", 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/boshu2/agentops.git --path packs/agentops-executor/skills/using-gc--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 boshu2/agentops --skill using-gc -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install boshu2/agentops using-gc --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boshu2/agentops.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packs/agentops-executor/skills/using-gc .gemini/skills/using-gc && 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 "using-gc" agent skill from https://github.com/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gc into .gemini/skills/using-gc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "using-gc", 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 boshu2/agentops using-gcInstalls 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 boshu2/agentops --skill using-gc -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/boshu2/agentops.git skills-src && mkdir -p .github/skills && cp -r skills-src/packs/agentops-executor/skills/using-gc .github/skills/using-gc && 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 "using-gc" agent skill from https://github.com/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gc into .github/skills/using-gc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "using-gc", 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 boshu2/agentops --skill using-gc -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install boshu2/agentops using-gc --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boshu2/agentops.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packs/agentops-executor/skills/using-gc .opencode/skills/using-gc && 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 "using-gc" agent skill from https://github.com/boshu2/agentops/tree/main/packs/agentops-executor/skills/using-gc into .opencode/skills/using-gc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "using-gc", 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.
using-gcOperate a caller-selected Gas City 1.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts.
Using Gc is an agent skill from boshu2/agentops. Operate a caller-selected Gas City 1.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts. Triggers: "using gc", "gas city", "drive the mayor", "dispatch through gc".
Its SKILL.md is about 2.6k 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: DevOps discipline for AI coding agents: shape the work, track it as a graph, and get each change judged by a context that didn't write it. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3bdbfed. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
factory.gascity.comregistry.gascity.comAlso links to:
agent-flywheel.comFrom 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.
Using Gc loads about 2.6k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,244 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 boshu2/agentops at commit 3bdbfed, republished under its Apache-2.0 licence (© boshu2). 1,244 words, ~2,608 tokens.
.claude/skills/using-gc/SKILL.md (or your agent's skills folder).Use Gas City only when the caller explicitly selects it. Treat it as a replaceable execution adapter, not a correctness or completion boundary.
AgentOps supports both Gas City and the Agentic Coding Flywheel as external software-factory runtimes. Use this skill only for Gas City. If the caller selects the Flywheel, use its native workflow instead of wrapping it in Gas City.
AgentOps supplies skills and evidence contracts to either factory. It does not
need its own Gas City formula or role pack. Install or link AgentOps skills into
the provider runtime before starting workers; the upstream Mayor, coordinator,
and workers can then discover and select plan, implement, test,
validate, and other AgentOps skills normally.
Gas City 1.4 is run-centered. The supervisor serves the dashboard and typed,
paginated session/run APIs. Every graph-owning city or rig scope needs its own
core.control-dispatcher; that deterministic worker advances formula control
beads. Agent workers claim routed work. The upstream gc.mayor skill is the
guided coordinator; gc.run-operator launches and supervises formulas.
The normal AgentOps path is:
gascity workflow and rig-role imports.build-basic,
continuation, review, or implementation formula that matches the available
artifacts.Prepare and qualify a rig before its first build with the shipped AgentOps CLI (no repo checkout required):
ao gc prepare --city /path/to/city --rig /path/to/rig
ao gc check --city /path/to/city --rig /path/to/rigThe command verifies the exact official workflow and role pins, snapshots the
upstream validation scripts and schemas unchanged inside the rig's .gc
runtime, installs only small AgentOps-owned wrappers at the formula check
paths, selects an existing Python that can import PyYAML, and links the
AgentOps skills into the city and rig Codex sinks. Skills come from the
enclosing AgentOps checkout when one is present, otherwise from the installed
skills root; pass --skills-source to pin a different directory. It never
modifies the GC binary, cache, formulas, roles, or upstream pack. check
issues only native inspection commands, writes no adapter files, and fails
before model spend when that runtime contract is missing or drifted.
The built-in main registry catalogs official packs. The community registry is
optional configuration:
gc pack registry list
gc pack registry refresh
gc pack registry search --all
gc pack registry show main:gascity
gc pack registry add community https://registry.gascity.com/registry.toml
gc pack registry search --registry community --allsearch reads the local registry cache; show reports release provenance and
exact import commands. gc import add declares a source/version, and gc import install resolves it into packs.lock. Prefer an exact accepted release for
reproducible cities.
AgentOps prefers the official gascity build pack, the workflow family visible
in the public Maintainer City factory. The current accepted reference is
gascity 0.1.6 at commit
3b3b89f2011e06d84459aa7bea1552382f13930a:
https://factory.gascity.com;build-basic, build-from-*, implement, review, issue, and PR
flows;gc.run-operator, gc.implementation-worker, planners,
reviewers, and publisher;core.control-dispatcher;gc.mayor skill.Install the workflow pack at city scope and its sibling roles pack on every rig
that runs work, following the exact commands returned by
gc pack registry show main:gascity. Keep the stock gc.* namespace; do not
nest or rename the roles behind an AgentOps pack.
For a starter build:
gc bd create "Add a --json flag to the export command"
gc sling gc.run-operator <bead-id> --on build-basic \
--var artifact_root=plans/json-flag/buildFor guided requirements, planning, and launch, tell the active agent:
Use skill gc.mayorAgentOps skills are tools available to those factory agents, not a replacement
workflow. Explicitly name a skill in the bead or prompt when its behavior is
required. The current upstream decomposition does not automatically propagate a
free-form Required Skills section from the caller-owned source bead into every
generated work item. Inspect the decomposition before implementation; put a
required skill name on the actual work item or worker prompt when its use is an
acceptance condition. Skill presence and skill invocation are different facts.
Before starting its orchestrator, run once per city:
gc doctor --fix
gc import install
gc supervisor stop --wait # macOS when an older direct supervisor remains
gc startThen confirm:
gc version reports 1.4.0 from the intended path;gc doctor has no blocking failures;core.control-dispatcher;packs.lock resolve;ao gc check accepts the contained maintainer runtime and
AgentOps skill links;gc binary;A stale registered city may block every start. Repair that city with gc doctor --fix, or explicitly unregister it if it is intentionally retired.
Retire an old HQ/canary by exact registered name or path, without stopping the machine-wide supervisor needed by its replacement:
gc cities --json
gc stop /path/to/old-city --timeout 45s
gc unregister /path/to/old-city
gc cities --jsonunregister fails rather than silently accepting an unknown target. Preserve
the city directory until its Beads state is backed up or confirmed disposable.
Create the replacement from the upstream Gas City template, install its pinned
imports, and verify it with gc cities --json, gc --city <new-city> status,
and gc --city <new-city> doctor --json.
First classify the bead.
Still ready: dispatch it once to its gc.run_target, then stop and inspect.
Already routed/in progress: re-slinging is a NO-OP. Wake its owning worker once:
gc session wake <run_target>Then capture the exact tmux pane named by session state and run gc doctor.
Never repair a city from inside that city.
The upstream pack may leave a future affinity-bound step assigned to a session that has already drain-acked. Diagnose this only from outside the city:
ao gc recover-affinity --city /path/to/city --rig /path/to/rigThe default is a dry run. If every listed assignment is correct, repeat with
--apply. The bounded repair only clears the assignee on a currently ready
formula bead whose gc.session_affinity=require session is no longer live. It
does not sling, retry, close, restart, or select work.
gc dashboard, run detail, gc status, and
gc session list --json. Run detail unifies the stage ladder, structured
transcripts, token rate, and estimated burn rate. A roster may still report
active while a provider is wedged.gc bd --rig <rig> ready --json and show <id> --json.
This is workflow-state truth, but a claimed bead cannot reveal a wedged pane.tmux -L <socket> capture-pane -pt <session>. This exposes
trust prompts, update nags, API/DNS failures, and interactive wedges.gc doctor, gc order history, storage health, and
events. This proves metabolism, not semantic acceptance.When layers disagree, trust the more direct observation: pane over roster for a session wedge, bead/run state over prose for workflow completion.
gc status may return a partial no_agents_running snapshot while
gc session list --json shows a live Mayor or worker. Treat that as an
observability disagreement, not permission to restart. Use session and pane
truth for liveness, bead/run state for workflow progress, and Doctor for
metabolism. A supervisor with abnormal CPU, a timed-out native stop, or a
recurring hook rewrite remains an upstream operational defect; this helper
reports it but never kills or patches GC processes.
The caller-owned input bead and the generated workflow root have separate
lifecycles. A successful build-basic run may close its workflow root while
leaving the input bead open. Likewise, push=false and open_pr=false produce
a successful no-op publish while the approved commit remains in its source
anchor worktree. Neither state is semantic completion by itself.
verdict.v2.© boshu2, 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 packs/agentops-executor/skills/using-gc of boshu2/agentops.
Open the folder on GitHubat commit 3bdbfed
Using Gc 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 |
|---|---|---|---|---|---|---|
| Using Gc this skillboshu2/agentops | 447 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Azure Smart City Iot Solution Buildergithub/awesome-copilot | 40k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| It Operationsdavila7/claude-code-templates | 32k | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Performing Oil Gas Cybersecurity Assessmentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Operator Approval Loopaffaan-m/ECC | 275k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Select Namethedaviddias/Front-End-Checklist | 74k | — | ~451 | Automated safety check: Pass | MIT |
github/awesome-copilot
Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.
davila7/claude-code-templates
Manages IT infrastructure, monitoring, incident response, and service reliability.
mukul975/Anthropic-Cybersecurity-Skills
Conduct cybersecurity assessments of upstream, midstream, and downstream oil and gas operations, covering pipeline SCADA, refinery DCS, safety instrumented systems, and remote wellhead RTUs, and…
affaan-m/ECC
Operator approval contract with internal filing notices for agent-drafted outbound messages, hashed drafts, epoch-keyed decisions, durable delivery claims and receipts, and a pre-draft baseline gate.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide accessible names for select elements.
alirezarezvani/claude-skills
A skill your agent uses when running, diagnosing, or designing internal business operations — process documentation, vendor SLAs, capacity planning, internal comms, SOP/runbook authoring…
boshu2/agentops
Dispatch independent tasks to parallel workers or subagents without write collisions.
boshu2/agentops
Compare independent opinions from several models or contexts without inflating agreement.
boshu2/agentops
Draft or lint a bounded long-running goal prompt with a finish line and hard limits.
boshu2/agentops
Write or update READMEs, docs, repo instructions and handoff notes, checked against source.
boshu2/agentops
Brainstorm evidence-backed options for what to build, or stress-test an idea.
boshu2/agentops
Change or repair code, config or services without weakening tests; report what ran and what did not.
Operate a caller-selected Gas City 1.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts. Using Gc is an agent skill from boshu2/agentops.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts.
Run `npx skills add boshu2/agentops --skill using-gc -a claude-code`. Or copy the skill folder (packs/agentops-executor/skills/using-gc in boshu2/agentops) into .claude/skills/using-gc in your project. Claude Code loads it when a task matches its description.
Run `npx skills add boshu2/agentops --skill using-gc -a codex`. Or copy the skill folder (packs/agentops-executor/skills/using-gc in boshu2/agentops) into .agents/skills/using-gc 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 boshu2/agentops --skill using-gc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/using-gc, .gemini/skills/using-gc, .github/skills/using-gc and .opencode/skills/using-gc in your project.
SKILL.md names no scripts, command-line tools or credentials: Using Gc is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: factory.gascity.com and registry.gascity.com; the agent is likely to contact these when it follows the instructions. As links in the text: agent-flywheel.com. 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.
Using Gc is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k 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 Using Gc: Azure Smart City Iot Solution Builder (github/awesome-copilot, 40k stars), It Operations (davila7/claude-code-templates, 32k stars), Performing Oil Gas Cybersecurity Assessment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Operator Approval Loop (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
boshu2 (a GitHub user) maintains it in boshu2/agentops, which has 447 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.
Source: boshu2/agentops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.