
service-de-headless-channel-configure
Top-level orchestrator: given a messaging channel type and its inputs, produces an activated Enhanced MessagingChannel in the target org — without the Meta/LINE/Apple setup popups. Prompts for {MESSAGETYPE} if not supplied, then sequences insert → route → consent → activate via the type-agnostic dispatcher (service-de-channel-create) plus the shared routing/consent/activation leaves. Resumes from partial state on re-run. Use to set up an Enhanced channel (WhatsApp, Facebook, LINE, Apple, SMS) end-to-end, bypassing in-org setup popups. Do not use for a single stage of an already-inserted channel — use the matching leaf skill (service-de-channel-activate, service-de-channel-settings-configure, service-de-channel-routing-configure) instead.
- Installs
- 652
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/forcedotcom/sf-skills --skill service-de-headless-channel-configure- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads service-de-headless-channel-configure automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Headless Channel Setup (type-agnostic)
What this skill does
Takes a channel type (WhatsApp | Line | AppleBusinessChat | Facebook | Text) plus its type-specific inputs and drives it to an activated MessagingChannel. It first gates on the Enhanced Messaging Terms and Conditions, then runs four steps:
- Accept Terms and Conditions — renders the Enhanced Messaging disclaimer and requires the user to certify they have authority to bind their org, mirroring the in-org "Add a Channel" wizard. Blocking — a decline ends the run before any org work. (Stage 0.5, in this skill)
- Insert the channel — invokes
service-de-channel-create, which handles the per-type third-party prereq internally (e.g. WhatsApp'sservice-de-waba-integrateruns insideservice-de-channel-create). (skill:service-de-channel-create) - Configure routing — sets
SessionHandlerIdto an Omni-Channel Queue (pick existing or create new). Message-type-agnostic. (skill:service-de-channel-routing-configure) - Configure consent — ensures a valid
ConsentType+ matchingMsgChannelLanguageKeywordrecord. The Connect insert auto-seeds a defaultConsentType=ImplicitOptIn+ opt-out keyword, so on a fresh channel this step is frequently a no-op — or an upgrade if the caller wants ExplicitOptIn/DoubleOptIn. Activation's readiness check requires both routing AND consent, so this runs before activation. (skill:service-de-channel-settings-configure) - Activate — PATCHes
MessagingChannelUsage.DeploymentStatustoProvisioningvia REST; the server-side save-hook drives the full observer chain synchronously and returns 204 once the MCU reachesActiveandMessagingChannel.IsActive=true. Message-type-agnostic. (skill:service-de-channel-activate)
Resume-by-default. Each step is idempotent — if you re-run after a failure, the orchestrator detects existing state and skips steps that already succeeded.
Prompt mid-flow. If {MESSAGE_TYPE} isn't in the initial request, the orchestrator asks upfront. Routing choices (pick queue / create new) are prompted when step 2 runs, not upfront — keeps leaf skills self-contained.
Reference File Index
| Reference file | Load when |
|---|---|
references/inputs.md | You need the full input field list — MESSAGE_TYPE/ORG_ALIAS plus per-type fields for WhatsApp, LINE, AppleBusinessChat, Facebook, Text (SMS). |
references/terms-and-conditions.md | Rendering the Stage 0.5 disclaimer and certification prompt — verbatim text and per-type label/third-party mappings. |
references/output-envelopes.md | Wiring error handling or parsing the canonical success/failure/terms-declined JSON envelope shapes. |
references/partial-success.md | The orchestrator fails mid-way and you need to render the partial-success/resume report. |
references/gotchas.md | Debugging unexpected behavior — duplicate-key errors, resume/idempotency questions, preflight SOQL shape, unattended/CI usage. |
references/worked-examples.md | You need a reference trace (fresh WhatsApp run, resume after failure, Apple dispatch, unsupported-type rejection) for exact envelope shapes. |
Critical execution rule
This orchestrator MUST run all stages (0-5) in a SINGLE response without stopping between stages.
When you invoke a leaf skill (service-de-channel-create, service-de-channel-routing-configure, service-de-channel-settings-configure, service-de-channel-activate) and it returns via function_results:
- DO: Immediately parse the function_results return value and continue to the next stage
- DO: Run Stage 0.5 → Stage 1 → Stage 2 → Stage 3 → Stage 3.5 → Stage 4 → Stage 5 consecutively in ONE response
- DO NOT: Stop and report back to the user between stages
- DO NOT: Wait for user confirmation between stages
- DO NOT: Treat each stage as a separate turn in the conversation
Why this matters: The user invoked THIS orchestrator skill to get an end-to-end activated channel. They did NOT invoke the individual leaf skills. Your job is to run the entire pipeline autonomously and report the final result. Stopping mid-flow breaks the orchestrator pattern and forces the user to manually resume each stage.
Exception: Only stop mid-flow if a leaf skill returns ok: false with a terminal error (not a recoverable prompt), or if the user declines the Stage 0.5 Terms and Conditions gate (emit terms-not-accepted and halt). Then report the failure immediately with context about which stage failed and what state was reached.
Stage 0.5 is a required blocking prompt. The Terms and Conditions gate is the one prompt that must be answered affirmatively before any org work. It is not optional and must not be auto-accepted. A no/decline ends the run per the exception above; a yes continues to Stage 1 in the same response.
Leaf skill prompts: Some leaf skills (like service-de-waba-integrate or service-de-channel-routing-configure) may prompt the user for input mid-execution. That's fine — answer those prompts as they come up, but then CONTINUE to the next stage immediately after the prompt is answered. Don't stop just because a prompt was involved.
When NOT to use this skill
- You only want one step. Invoke the leaf skill directly (
service-de-channel-create,service-de-channel-routing-configure,service-de-channel-activate). This orchestrator is for the full automated path from nothing → activated channel. - You want to run stages independently in separate conversation turns. This orchestrator runs all stages consecutively in one response. If you need manual control between stages, invoke the leaf skills individually.
- You want a message type outside
WhatsApp/Line/AppleBusinessChat/Facebook/Text. The dispatcher will returnunsupported-type. WeChat / MsCopilot / Alexa would need their own leaves + a dispatcher update. - The prereq hasn't been met (WABA not shared, LINE channel not created, Apple account not registered, SMS number not provisioned). The per-type insert skill's Stage 2-equivalent surfaces this clearly and returns; no orchestration fixes it. (For SMS/Text the number-provisioning prereq isn't checked at insert — an unprovisioned number surfaces later as an activation-time
provisioning-error.)
Inputs (from user)
{MESSAGE_TYPE} (prompted if omitted) and {ORG_ALIAS} (optional), plus type-specific fields for WhatsApp, LINE, AppleBusinessChat, Facebook, and Text (SMS) forwarded to the dispatcher. Load references/inputs.md and follow it for the full field list and the omitted-type prompt text.
Output (to user)
Three top-level outcomes: success, step-annotated failure, and terms-declined. Load references/output-envelopes.md and follow it for the exact JSON shapes.
Stage 0: Resolve {MESSAGE_TYPE} and type-specific key
If {MESSAGE_TYPE} is omitted, prompt the user (see "Inputs" above). Refuse to proceed without one — there's no sensible default.
Once known, determine the preflight key — the field we'll filter the MessagingChannel SOQL on to detect existing state. It's always MessagingPlatformKey, but what that value is varies by type:
{MESSAGE_TYPE} | Preflight key value {PLATFORM_KEY} | Notes |
|---|---|---|
WhatsApp | {PHONE_NUMBER_ID} | Required upfront |
Line | {LINE_CHANNEL_ID} | Required upfront |
AppleBusinessChat | {APPLE_BC_ID} | Required upfront |
Facebook | {PAGE_ID} | Optional - OAuth → fetch pages → prompt if not provided |
Text | {SMS_NUMBER} | Required upfront (the phone number / short code itself) |
Facebook is unique: If {PAGE_ID} is not provided, the orchestrator cannot run its own Stage 1 preflight. Instead, skip Stage 1 and let service-de-channel-create handle the full OAuth → page selection → preflight → creation flow. The insertion skill has its own Stage 1 preflight that runs after page selection.
For non-Facebook types, validate that the caller provided the required type-specific inputs for {MESSAGE_TYPE} (see Inputs above). If missing, prompt or halt — don't call the dispatcher, it will re-validate and return missing-input, wasting a round trip.
Stage 0.5: Enhanced Messaging Terms and Conditions (blocking gate)
Run this before any org query or channel work. The in-org "Add a Channel" wizard requires the admin to accept the Enhanced Messaging Terms and Conditions before it will let them proceed to channel setup. The headless flow must enforce the same gate — do not skip it, do not accept on the user's behalf. This runs once per orchestrator invocation, after {MESSAGE_TYPE} is known (the disclaimer names the channel) and before Stage 1.
Render the disclaimer and certification prompt from references/terms-and-conditions.md (verbatim, substituting the channel label) — load it and follow it for the exact wording and per-type label/third-party mappings.
Gate behavior:
- If the user answers yes (affirmative acceptance), record
{TC_ACCEPTED} = trueand continue to Stage 1. - If the user answers no, declines, or does not affirmatively accept, halt immediately — do not run Stage 1 or any subsequent stage. Emit:
{"ok": false, "kind": "terms-not-accepted", "hint": "user did not accept the Enhanced Messaging Terms and Conditions — channel setup cannot proceed. Re-run when ready to accept."} - Acceptance is required on every orchestrator invocation, including resume runs. It is a per-session gate, not persisted — we don't have a place to durably record it, and the cost of re-confirming is one prompt.
Stage 1: Pre-flight state detection (resume support)
Skip this stage entirely if MESSAGE_TYPE=Facebook and {PAGE_ID} was not provided. The Facebook insertion skill needs to run OAuth first before we know which PAGE_ID to check for. Let the insertion skill handle its own preflight in Stage 1 after page selection.
For all other cases, query the org to see how far a prior run got. This enables skip-ahead on resume. Two queries, not a subquery — the (SELECT ... FROM MessagingChannelUsages) subquery fails on some orgs where the child relationship is unnameable. Use FK-keyed second query instead (see gotcha #9).
sf data query --target-org '{ORG_ALIAS}' \
--query "SELECT Id, DeveloperName, MessageType, IsActive, SessionHandlerId, FallbackQueueId FROM MessagingChannel WHERE MessagingPlatformKey = '{PLATFORM_KEY}' AND MessageType = '{MESSAGE_TYPE}'" \
--json > /tmp/hcs-preflight.json
If the channel query returns a row, fire a second query to resolve its MCU:
sf data query --target-org '{ORG_ALIAS}' \
--query "SELECT Id, DeploymentStatus FROM MessagingChannelUsage WHERE MessagingChannelId = '{CHANNEL_ID}'" \
--json > /tmp/hcs-preflight-mcu.json
Parse the combined result to figure out {CURRENT_STATE}:
| Preflight result | CURRENT_STATE | First step to run |
|---|---|---|
| No records | fresh | Step 1 (insert) |
Record exists, IsActive=false, SessionHandlerId=null and FallbackQueueId=null | inserted-no-routing | Step 2 (configure routing) |
Record exists, IsActive=false, routing set | routed-not-active | Step 3 (configure consent), then Step 4 (activate) |
Record exists, IsActive=true | already-active | Emit no-op success envelope; return. |
Record the existing {CHANNEL_ID} and {MCU_ID} if present — downstream steps need them.
Initialize {STEPS_RUN} = [], {STEPS_SKIPPED} = [], {T0} = Date.now().
Stage 2: Insert the channel (step 1 of 4)
Skip this stage if CURRENT_STATE ∈ {inserted-no-routing, routed-not-active, already-active} — the channel already exists. Append "insert" to STEPS_SKIPPED in that case.
Otherwise invoke service-de-channel-create with:
{MESSAGE_TYPE}= (from Stage 0)- All type-specific inputs (forwarded verbatim — dispatcher routes to the right leaf)
{ORG_ALIAS}
The insertion skill handles per-type prereqs internally (e.g., for WhatsApp, service-de-channel-create invokes service-de-waba-integrate as its Stage 2). This orchestrator doesn't need to know about WABA linking, LINE token verification, or Apple registration — service-de-channel-create owns the prereq semantics for whichever type it's running.
Handle the envelope:
| Leaf envelope | Orchestrator action |
|---|---|
{ok: true, channelId, mcuId, ...} | Record {CHANNEL_ID} and {MCU_ID}. Append "insert" to STEPS_RUN. Continue. |
{ok: false, kind: "partnership-blocked" | "user-declined" | "apple-registration-pending" | "line-prereq-missing"} | These come from the per-type prereq stage. Pass through as failedStep: "insert", failedStepIndex: 1. Return. |
{ok: false, kind: "missing-input" | "unsupported-type"} | Should have been caught in Stage 0 — emit failure with failedStep: "insert" and a note that the caller's inputs were incomplete. |
{ok: false, kind: <anything else>} | Emit failure envelope with failedStep: "insert", failedStepIndex: 1. Return. |
At this point we have {CHANNEL_ID} and {MCU_ID} regardless of whether step 1 ran or was skipped.
→ Continue immediately to Stage 3 in this same response. DO NOT STOP.
Stage 3: Configure routing (step 2 of 4)
Skip this stage if CURRENT_STATE === "routed-not-active" — routing is already set. Append "route" to STEPS_SKIPPED.
Otherwise invoke service-de-channel-routing-configure:
{CHANNEL_ID}= recorded above{ORG_ALIAS}
This is the step that prompts the user for queue choice (pick existing / create new / escape hatch). Don't try to pre-empt the prompts — forward the user's answers as-is.
Handle the envelope:
| Leaf envelope | Orchestrator action |
|---|---|
{ok: true, sessionHandlerId, queueName, ...} (including noop: true) | Record {SESSION_HANDLER_ID} and {QUEUE_NAME}. Append "route" to STEPS_RUN. Continue. |
{ok: false, kind: "unsupported-routing-type", ...} | User chose flow/user/asa/aea. Emit partial-success with failedStep: "route" and a resume hint pointing at the UI. Return. |
{ok: false, kind: "metadata-deploy-failed" | "patch-failed" | "verify-failed"} | Emit failure envelope with failedStep: "route". Return. |
→ Continue immediately to Stage 3.5 in this same response. DO NOT STOP.
Stage 3.5: Configure consent (before activation)
Activation's readiness check requires consent AND routing — a fully-routed channel still fails to activate if consent isn't configured. Invoke service-de-channel-settings-configure:
{CHANNEL_ID}= recorded above{CONSENT_TYPE},{LANGUAGE}, and the keyword/prompt values — forward whatever the user supplied; omit what they didn't{ORG_ALIAS}
This stage ensures consent is activation-ready — it doesn't always write. The Connect insert auto-seeds ConsentType=ImplicitOptIn plus a default opt-out MsgChannelLanguageKeyword, which already satisfies the readiness check. So the leaf's Stage 1 will frequently find the channel already ready and return noop: true — the expected outcome on a fresh ImplicitOptIn channel, not a bug. It performs a real write only to upgrade (ExplicitOptIn/DoubleOptIn) or override the seeded keywords/prompts. When the user pre-supplied inputs asking for an upgrade, expect a write and let the leaf prompt for missing values — don't suppress those prompts.
Handle the envelope:
| Leaf envelope | Orchestrator action |
|---|---|
{ok: true, ...} (including noop: true) | Append "consent" to STEPS_RUN (or STEPS_SKIPPED if noop). Continue. |
{ok: false, kind: "not-enhanced"} | Shouldn't happen — these skills only create Enhanced channels. Emit failure with failedStep: "consent". Return. |
{ok: false, kind: "missing-consent-input", hint} | The user didn't supply a required keyword/prompt for the chosen ConsentType. Emit failure with failedStep: "consent" and pass through the hint. Return. |
{ok: false, ...} (any other kind — channel-patch-failed, keyword-record-failed, verify-failed, or an unrecognized envelope) | Emit failure with failedStep: "consent" and pass through the leaf's kind and message verbatim. Return. |
→ Continue immediately to Stage 4 in this same response. DO NOT STOP.
Stage 4: Activate (step 4 of 4)
Always run (unless CURRENT_STATE === "already-active", in which case Stage 1 returned early).
Invoke service-de-channel-activate:
{CHANNEL_ID}= recorded above{ORG_ALIAS}
No timeout knobs — activation is a single synchronous PATCH. The leaf does a defensive poll if the server ever returns mid-transition, but the expected path is one round-trip.
Handle the envelope:
| Leaf envelope | Orchestrator action |
|---|---|
{ok: true, isActive: true, ...} (including noop: true) | Record results. Append "activate" to STEPS_RUN. Continue to Stage 5. |
{ok: false, kind: "no-routing"} | Unusual (we just set it) — probably a race or permission issue. Emit failure with a hint about the permissions check. Return. |
{ok: false, kind: "no-mcu" | "channel-missing"} | Shouldn't happen after successful insert. Emit failure with the leaf's envelope. Return. |
{ok: false, kind: "readiness-failed", errorMessage} | validateChannelReadinessOnProvisioning rejected the PATCH — missing consent (STOP/HELP keyword record). Stage 3.5 should have caught this; if it re-appears, re-run service-de-channel-settings-configure for the channel. Emit failure and pass through the resume hint. Return. |
{ok: false, kind: "provisioning-error", errorReason, errorDetails} | Third-party side rejected (Meta /register failed, etc.). MCU is now in Error. Emit failure and pass through errorReason/errorDetails. Return. |
{ok: false, kind: "auth" | "transport"} | REST call failed at the HTTP layer (401 from sf auth, 5xx from the instance). Pass through. Return. |
Stage 5: Final report
Build the success envelope:
{
"ok": true,
"messageType": "{MESSAGE_TYPE}",
"channelId": "{CHANNEL_ID}",
"mcuId": "{MCU_ID}",
"channelName": "{CHANNEL_NAME or inferred}",
"sessionHandlerId": "{SESSION_HANDLER_ID}",
"queueName": "{QUEUE_NAME}",
"isActive": true,
"stepsRun": [...],
"stepsSkipped": [...],
"totalDurationMs": Date.now() - T0
}
Render to the user as:
Success — {MESSAGE_TYPE} channel '{CHANNEL_NAME}' is live on {ORG_ALIAS}.
Channel ID: {CHANNEL_ID}
Routed to: {queueName} ({SESSION_HANDLER_ID})
Steps: ran {STEPS_RUN.join(", ")}{, skipped " + STEPS_SKIPPED.join(", ") if any}
Total time: {formatted from durationMs}
If any step was skipped due to resume, the report should make that visible.
Partial-success and resume reporting
If the orchestrator fails mid-way, the envelope always includes stateSoFar describing what landed. stateSoFar must always carry both stepsRun and stepsSkipped (each an array, empty if nothing landed/skipped yet) alongside the fields that landed — the partial-success renderer reads both. When rendering a failure, load references/partial-success.md and follow it — it has the exact template for showing which steps already landed and how to retry.
Worked examples
For reference traces (fresh WhatsApp run, resume after routing failure, Apple dispatch, unsupported-type rejection), see references/worked-examples.md.
Gotchas
Nine known gotchas covering prereq ownership, MessagingPlatformKey uniqueness, resume semantics, CSOT-only support, error-classification boundaries, prompt placement, platform-key mapping, wall-clock duration, and the two-query preflight workaround. When debugging unexpected behavior, load references/gotchas.md and follow it.
FAQ
What does the service-de-headless-channel-configure skill do?
Top-level orchestrator: given a messaging channel type and its inputs, produces an activated Enhanced MessagingChannel in the target org — without the Meta/LINE/Apple setup popups. Prompts for {MESSAGETYPE} if not supplied, then sequences insert → route → consent → activate via the type-agnostic dispatcher (service-de-channel-create) plus the shared routing/consent/activation leaves. Resumes from partial state on re-run. Use to set up an Enhanced channel (WhatsApp, Facebook, LINE, Apple, SMS) end-to-end, bypassing in-org setup popups. Do not use for a single stage of an already-inserted channel — use the matching leaf skill (service-de-channel-activate, service-de-channel-settings-configure, service-de-channel-routing-configure) instead.
How do I install service-de-headless-channel-configure?
Run npx skills add https://github.com/forcedotcom/sf-skills --skill service-de-headless-channel-configure in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/service-de-headless-channel-configure/ (personal) or .claude/skills/service-de-headless-channel-configure/ (project).
Which AI agents can use service-de-headless-channel-configure?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is service-de-headless-channel-configure safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains service-de-headless-channel-configure?
It is published by forcedotcom in forcedotcom/sf-skills. It has 652 recorded installs.
More from forcedotcom/sf-skills
platform-apex-generate
forcedotcom/sf-skills
Primary Apex authoring skill for class generation, refactoring, and review. ALWAYS ACTIVATE when the user mentions Apex, .cls, triggers, or asks to create/refactor a class (service, selector, domain, batch, queueable, schedulable, invocable, DTO, utility, interface, abstract, exception, REST resource). Use this skill for requests involving SObject CRUD, mapping collections, fetching related records, scheduled jobs, batch jobs, trigger design, @AuraEnabled controllers, @RestResource endpoints, custom REST APIs, or code review of existing Apex.
platform-apex-test-generate
forcedotcom/sf-skills
Use to generate and validate Apex test classes with TestDataFactory patterns, bulk testing (251+ records), mocking, assertions, and disciplined test-fix loops. Use when creating Apex test classes (for triggers, services, controllers, batch jobs, queueables, and callouts), improving coverage, debugging or fixing failing Apex tests, or running test/coverage analysis. Triggers on Test.cls files, sf apex run test, coverage reports. Do NOT trigger for production Apex (use platform-apex-generate) or Jest/LWC tests.
platform-apex-test-run
forcedotcom/sf-skills
Apex test execution, coverage analysis, and test-fix loops with 120-point scoring. Use when the user runs Apex tests, checks code coverage, fixes failing tests, or touches Test.cls / Test.cls files. DO NOT TRIGGER when writing Apex production code (use platform-apex-generate), Agentforce agent testing (use agentforce-test), or Jest/LWC tests (use experience-lwc-generate).
platform-apex-logs-debug
forcedotcom/sf-skills
Salesforce debug log analysis and troubleshooting with 100-point scoring. TRIGGER when: user analyzes debug logs, hits governor limits, reads stack traces, or touches .log files from Salesforce orgs. DO NOT TRIGGER when: running Apex tests (use platform-apex-test-run), generating or fixing Apex code (use platform-apex-generate), or Agentforce session tracing (use agentforce-observe).
platform-soql-query
forcedotcom/sf-skills
Use when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan/selectivity analysis, and performance or safety improvements. TRIGGER when the user writes, optimizes, or debugs SOQL/SOSL, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER for bulk data operations (use platform-data-manage), Apex DML logic (use platform-apex-generate), or report/dashboard queries.
platform-metadata-deploy
forcedotcom/sf-skills
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, validates a deploy or does a dry-run, deploys to a Production org, quick-deploys a validated job ID, ships/promotes to prod, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex code, building LWC components (use experience-lwc-generate), creating metadata definitions (use platform-custom-object-generate), deleting metadata from an org (use platform-destructive-deploy), or querying org data (use platform-data-manage).
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available