Install Anti-Slop Oxlint Rules
dmmulroy/anti-slop
Installs, updates or migrates the vendored anti-slop Oxlint plugin in a repository, keeping local rule changes and the plugin's license and provenance files.
Migrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents.
$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-dfcx-migration --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/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cxas-dfcx-migration .claude/skills/cxas-dfcx-migration && 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 "cxas-dfcx-migration" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migration into .claude/skills/cxas-dfcx-migration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-dfcx-migration", 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/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migrationType 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 GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-dfcx-migration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/cxas-dfcx-migration .agents/skills/cxas-dfcx-migration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cxas-dfcx-migration" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migration into .agents/skills/cxas-dfcx-migration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-dfcx-migration", 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 GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-dfcx-migration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/cxas-dfcx-migration .cursor/skills/cxas-dfcx-migration && 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 "cxas-dfcx-migration" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migration into .cursor/skills/cxas-dfcx-migration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-dfcx-migration", 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/GoogleCloudPlatform/cxas-scrapi.git --path .agents/skills/cxas-dfcx-migration--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 GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-dfcx-migration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/cxas-dfcx-migration .gemini/skills/cxas-dfcx-migration && 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 "cxas-dfcx-migration" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migration into .gemini/skills/cxas-dfcx-migration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-dfcx-migration", 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 GoogleCloudPlatform/cxas-scrapi cxas-dfcx-migrationInstalls 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 GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/cxas-dfcx-migration .github/skills/cxas-dfcx-migration && 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 "cxas-dfcx-migration" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migration into .github/skills/cxas-dfcx-migration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-dfcx-migration", 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 GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-dfcx-migration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/cxas-dfcx-migration .opencode/skills/cxas-dfcx-migration && 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 "cxas-dfcx-migration" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-dfcx-migration into .opencode/skills/cxas-dfcx-migration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-dfcx-migration", 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.
cxas-dfcx-migrationMigrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents.
Cxas Dfcx Migration is an agent skill from GoogleCloudPlatform/cxas-scrapi. Migrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents. Use this skill when the user mentions DFCX migration, migrating agents, converting DFCX to CXAS, porting agents, agent migration, or post-migration optimization/consolidation. Four independently runnable scripts: migrate.py (1:1), stage1.py (variable dedup + consolidation), stage2.py (instruction state machines + tool mocks + lint + report), stage3.py (rewires consolidated topology from source dep graph; only needed when stage1…
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/migration-options.md`, `scripts/_prompts.py` and `scripts/_shared.py`).
It sits in Development, covering Linting and formatting. The repository describes itself as: A powerful Python API, CLI, and set of Agent Skills for CX Agent Studio to automate, evaluate, and scale your agents with ease. 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 ffba639. 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.
Ships 8 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipgcloudFrom 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:
ces.cloud.google.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.
Cxas Dfcx Migration loads about 3.2k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 166 tokens; SKILL.md has 1,014 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); the scripts in this folder are not scanned.
The full file from GoogleCloudPlatform/cxas-scrapi at commit ffba639, republished under its Apache-2.0 licence (© GoogleCloudPlatform). 1,014 words, ~3,154 tokens.
.claude/skills/cxas-dfcx-migration/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.Four small scripts, one persistent IR bundle:
| Script | What it does | Runtime | Output |
|---|---|---|---|
migrate.py | 1:1 conversion of every selected playbook/flow into the IR, and deploys base resources only (app, variables, tools). Agent deployment is DEFERRED to stage_1.py so large sources don't exceed the CXAS 100-agent cap — the compiled agents are saved in <target>_ir.json, not pushed. Pass --no-consolidate to push the full 1:1 agent set immediately (only safe below ~100 agents). | ~30 min for ~40 flows | <target>_ir.json, <target>_migration_report.md, <target>_unit_tests.json |
stage_1.py | Loads the IR bundle, runs CXASOptimizer.optimize_stage1 (variable dedup) and Gemini structural consolidation (N→M agent grouping). This is the first agent push to CXAS — only the consolidated (N→M) agents are deployed; the raw 1:1 originals are never pushed (consolidate() drops them and the pre-consolidation snapshot is used transiently for the integrity check only, never persisted). CXAS Version 0.0.2 (dedup) and 0.0.3 (consolidation). | ~15 min | Updated <target>_ir.json, <target>_grouping.json |
stage_2.py | Loads the IR bundle, runs CXASOptimizer.optimize_stage2 (instruction state machines + tool mocks). Pushes via update-pass deploys. CXAS Version 0.0.4. Re-generates unit tests. Lints. Writes the audit report. | ~10 min | Updated <target>_ir.json, <target>_optimization_report.md, regenerated <target>_unit_tests.json |
stage_3.py | Only after Stage 1 consolidation. Rewires the consolidated agents' parent → children topology by mapping the SOURCE DFCX dep graph onto the new groups (rather than relying on what the synthesized PIF XML happened to reference) according to Spoke-Hub architecture style. Sets app root_agent to the is_root group. Idempotent — safe to re-run. CXAS Version 0.0.5. | ~10 sec | Updated <target>_ir.json stage history; CXAS app's child_agents set per group |
State flows through <target>_ir.json (a Pydantic IRBundle containing the MigrationConfig, source DFCXAgentIR, target MigrationIR, stage history, and version checkpoints). Each stage loads it from disk, mutates it, and writes it back. No re-fetching or re-compiling between stages.
This skill (InquirerPy prompts + HTML pre-flight preview + Gemini model picker) is the right entry when you want to interactively drive a migration with rich pre-flight context. The same MigrationService.run_stage* methods this skill calls are also exposed via the canonical CLI for scripted / CI use:
# Same E2E plumbing, non-interactive (standard optimized profile by default):
cxas migrate dfcx --run --source-agent-id … --project-id … --target-name …
# Non-interactive Stage Checkpoint optimization runs:
cxas migrate dfcx --optimize --stage 1 --target-name my_app
cxas migrate dfcx --optimize --stage 2 --target-name my_app
cxas migrate dfcx --optimize --stage 3 --target-name my_app --architecture hub-and-spoke
cxas migrate dfcx --optimize --stage resume --target-name my_app # interactive stage pickerThe skill, the dashboard, and the E2E / Checkpoint commands all go through the same MigrationService.run_stage_1/run_stage_2/run_stage_3 methods — pick whichever entry point matches your workflow.
# Ensure cxas_scrapi is installed editable (so this skill picks up local changes)
pip install -e .
# Auth
gcloud auth application-default login
gcloud auth list # confirm the account has read on source + admin on targetInquirerPy is required for the interactive prompts (matches the agent-foundry skill):
pip install InquirerPyWhen invoked through Claude, lead the user through one question at a time. The scripts will prompt for missing inputs via InquirerPy, but you should pre-collect:
us. Do NOT default to global — it does not work for CXAS apps in most projects..zip export.Optional follow-ups: --env (PROD/AUTOPUSH), --model (Gemini), --migration-version (1.0/2.0).
# 1:1 migration (interactive — InquirerPy will prompt for project + location)
python .agents/skills/cxas-dfcx-migration/scripts/migrate.py
# Fully scripted
python .agents/skills/cxas-dfcx-migration/scripts/migrate.py \
--source-agent-id "projects/<src_proj>/locations/us/agents/<uuid>" \
--project-id <target_proj> --location us \
--target-name my_cxas_app --yes
# Pre-flight HTML preview only (no migration)
python .agents/skills/cxas-dfcx-migration/scripts/migrate.py \
--source-agent-id "<id>" --project-id <proj> --target-name preview_only \
--preview-only --yes
# Stage 1 — variable dedup + Gemini consolidation
python .agents/skills/cxas-dfcx-migration/scripts/stage_1.py --target-name my_cxas_app
# Stage 1 — replay a saved grouping JSON
python .agents/skills/cxas-dfcx-migration/scripts/stage_1.py \
--target-name my_cxas_app --grouping-json my_cxas_app_grouping.json --yes
# Stage 2 — instruction state machines + tool mocks + lint + report
python .agents/skills/cxas-dfcx-migration/scripts/stage_2.py --target-name my_cxas_app
# Stage 3 — rewire consolidated agent parent-child topology (idempotent)
python .agents/skills/cxas-dfcx-migration/scripts/stage_3.py --target-name my_cxas_app --architecture hub-and-spokecxas_scrapiThe skill is a thin orchestrator. Every migration / optimization step lives in src/cxas_scrapi/migration/ and is reachable via MigrationService.run_stage_* methods, so the same logic powers all three entry points: this skill, cxas migrate dfcx (interactive TUI), and non-interactive command modes (--run / --optimize).
| Operation | src/ entry point |
|---|---|
| Source agent fetch / zip parse | migration/dfcx_exporter.py:ConversationalAgentsAPI |
| 1:1 migration | migration/service.py:MigrationService.run_migration |
| Stage 1 orchestrator (variable dedup + consolidation + integrity + topology link + orphan cleanup + versions + bundle persist) | migration/service.py:MigrationService.run_stage_1 |
| Stage 2 orchestrator (state machines + tool mocks + unit-test regen + lint + audit report + bundle persist) | migration/service.py:MigrationService.run_stage_2 |
| Stage 3 orchestrator (parent-child topology wiring) | migration/service.py:MigrationService.run_stage_3 |
| Bundle persist convenience | migration/service.py:MigrationService.persist_bundle |
| Variable dedup primitive (Stage 1) | migration/optimizer.py:CXASOptimizer.optimize_stage1 |
| Instruction restructuring + tool mocks primitive (Stage 2) | migration/optimizer.py:CXASOptimizer.optimize_stage2 |
| Gemini N→M grouping + per-group PIF XML synthesis | migration/structural_consolidator.py:StructuralConsolidator |
| Pre-deploy integrity checks | migration/integrity_checks.py:check_consolidation_integrity |
| Parent-child topology + orphan cleanup | migration/topology_wirer.py |
| Update-pass redeploys | migration/service.py:MigrationService._deploy_base_resources(is_update_pass=True) + _deploy_pending_agents(is_update_pass=True) |
| Topology link | migration/cxas_topology_linker.py |
| Version checkpoints | core/versions.py:Versions.create_version |
| Topology SVG | migration/graph_visualizer.py:HighLevelGraphVisualizer |
| Per-resource Rich trees | migration/playbook_visualizer.py + migration/flow_visualizer.py |
| Deterministic unit tests | migration/eval_generator.py:DeterministicEvalGenerator |
| Migration report | migration/dfcx_migration_reporter.py |
| Optimization audit report | migration/optimization_reporter.py:OptimizationReporter |
| Grouping review TUI (accept / re-propose / merge / split / rename) | cli/grouping_review.py:interactive_review |
| HTML pre-flight preview | migration/html_preview.py |
| Post-deploy linter | migration/post_deploy_lint.py |
| IR bundle persistence | migration/data_models.py:IRBundle |
Skill-local helpers (UX glue only — InquirerPy prompts + thin
delegations to MigrationCLI):
_prompts.py — InquirerPy prompt library (matches agent-foundry)._shared.py — InquirerPy variants of project/location prompts, source loader, and MigrationConfig assembly; plus pure delegations to MigrationCLI for check_auth, run_dependency_analysis, select_resources, show_visualizations.The stage scripts now import the promoted modules directly:
from cxas_scrapi.migration.data_models import IRBundle
(plus html_preview in migrate.py and phase_tracker) and call sites use the
canonical model names (IRBundle, phase_tracker.PhaseTracker,
html_preview.generate_html_report) — no re-export shim layer.
The skill's stage scripts (migrate.py / stage_1.py / stage_2.py / stage_3.py) are now ~80-200 line shells: parse args → restore service from bundle → call the matching MigrationService.run_stage_* → print summary. There is no orchestration logic left in the skill — only InquirerPy prompts and the HTML preview that's specific to the skill's pre-flight UX.HTML preview that's specific to the skill's pre-flight UX.
<target>_ir.json)The unit of state shared across the three scripts. Pydantic IRBundle model:
{
"schema_version": "1",
"created_at": "2026-05-14T15:30:00",
"config": { /* MigrationConfig */ },
"source_agent_data": { /* DFCXAgentIR — needed for tool-mock context */ },
"ir": { /* MigrationIR — mutated by each stage */ },
"stage_history": [
{"phase": "migrate", "status": "ok", ...},
{"phase": "stage1", "status": "ok", ...}
],
"app_url": "https://ces.cloud.google.com/...",
"version_checkpoints": [["0.0.1", "Stage 1: ..."]],
"grouping": { /* present if Stage 1 ran consolidation */ }
}Killing a stage script mid-run leaves the bundle untouched (only persisted on success). Re-running picks up where the last successful stage left off.
migrate.py generates <target>_tree_preview.html in ~5 seconds after source loading. Open it in any browser to see:
dot is on PATH; Mermaid fallback otherwise).migrate.py --preview-only exits after the preview without running the migration.
create_app returns 404 / 501 / MethodNotImplemented — your --location is wrong. CXAS apps in most projects live in us, not global. Pass --location us.AlreadyExists: App with same display name — pick a different --target-name. Old runs leave deployed apps behind even on partial failure.No IR bundle found — run migrate.py first to produce <target>_ir.json, or pass --ir-bundle <path> explicitly.asyncio.wait_for(timeout=600s) in structural_consolidator.synthesize_instructions. Override via SYNTHESIS_TIMEOUT_S env var. Hung groups fall back to the concatenated instruction.gemini-2.5-flash-001 not found during AI augment — the Gemini call uses locations/global for the model; sometimes that endpoint is project-restricted. The migration continues with empty AI descriptions. Pick a different --model if you need them.See references/migration-options.md for full parameter / flag descriptions and the IR bundle schema.
© GoogleCloudPlatform, 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
SKILL.md and 9 other files (scripts, references) in .agents/skills/cxas-dfcx-migration of GoogleCloudPlatform/cxas-scrapi.
Open the folder on GitHubat commit ffba639
Cxas Dfcx Migration 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 |
|---|---|---|---|---|---|---|
| Cxas Dfcx Migration this skillGoogleCloudPlatform/cxas-scrapi | 106 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop | 5.2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Babysit PR To Pass CIsgl-project/sglang | 37k | 2 repos | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Rust Best Practicesfarm-fe/farm | 5.6k | 3 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Go Pedantrychromedp/chromedp | 13k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Kedro Babysitkedro-org/kedro | 11k | — | ~4k | Automated safety check: Pass | Custom licence |
dmmulroy/anti-slop
Installs, updates or migrates the vendored anti-slop Oxlint plugin in a repository, keeping local rule changes and the plugin's license and provenance files.
sgl-project/sglang
Start and persistently pursue a goal to babysit an SGLang pull request until selected GitHub Actions workflows pass on the latest PR head.
farm-fe/farm
Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook.
chromedp/chromedp
This skill should be used when the user is writing Go code and needs guidance on Go-specific pedantry: error wrapping with fmt.Errorf and %w, interface design (accept interfaces return structs)…
kedro-org/kedro
Run Kedro's local lint / format / type-check / tests on changed files (uses the project's pre-commit hooks, ruff, mypy, pytest, lint-imports, detect-secrets, Make targets — in the right venv), or…
woocommerce/woocommerce
Rules for writing and editing markdown in the WooCommerce repository, with the project's markdownlint settings for headings, lists and code blocks.
GoogleCloudPlatform/cxas-scrapi
End-to-end GECX/CXAS/CES conversational agent lifecycle -- build agents from requirements (PRD-to-agent), create and run evals (goldens, simulations, tool tests, callback tests), debug failures, and…
GoogleCloudPlatform/cxas-scrapi
Author, validate, and manage Contact Center AI (CCAI) Insights Autolabeling Rules.
GoogleCloudPlatform/cxas-scrapi
Author, validate, and manage Contact Center AI (CCAI) Insights Configurable Dashboards.
GoogleCloudPlatform/cxas-scrapi
Retrieves non-contained CCAI Insights conversations (losses), uses agent intelligence to cluster them into common failure patterns, and generates a markdown report.
GoogleCloudPlatform/cxas-scrapi
Converts CXAS golden evaluations to SCRAPI SimulationEvals test cases.
GoogleCloudPlatform/cxas-scrapi
Audits, optimizes, and remediates CXAS agent configurations for Gemini Composite V1 voice naturalness, persona styling, and multi-language coverage directly in local workspaces with cxas-scrapi.
Categories
Migrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents. Cxas Dfcx Migration is an agent skill from GoogleCloudPlatform/cxas-scrapi. Migrate Dialogflow CX (DFCX) agents to CXAS (Customer Experience Agent Studio) agents.
Cxas Dfcx Migration fits situations like: the user mentions DFCX migration; migrating agents; converting DFCX to CXAS; agent migration.
Run `npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a claude-code`. Or copy the skill folder (.agents/skills/cxas-dfcx-migration in GoogleCloudPlatform/cxas-scrapi) into .claude/skills/cxas-dfcx-migration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a codex`. Or copy the skill folder (.agents/skills/cxas-dfcx-migration in GoogleCloudPlatform/cxas-scrapi) into .agents/skills/cxas-dfcx-migration 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 GoogleCloudPlatform/cxas-scrapi --skill cxas-dfcx-migration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cxas-dfcx-migration, .gemini/skills/cxas-dfcx-migration, .github/skills/cxas-dfcx-migration and .opencode/skills/cxas-dfcx-migration in your project.
Going by SKILL.md and its folder, Cxas Dfcx Migration needs Python for the scripts in its folder and the command-line tools its instructions call (python, pip and gcloud). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: ces.cloud.google.com; the agent is likely to contact it when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Cxas Dfcx Migration 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 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cxas Dfcx Migration: Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.2k stars), Babysit PR To Pass CI (sgl-project/sglang, 37k stars), Rust Best Practices (farm-fe/farm, 5.6k stars) and Go Pedantry (chromedp/chromedp, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GoogleCloudPlatform (a GitHub organization) maintains it in GoogleCloudPlatform/cxas-scrapi, which has 106 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 6, 2026.
Source: GoogleCloudPlatform/cxas-scrapi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.