Sf Datacloud Act
Jaganpro/sf-skills
Salesforce Data Cloud Act phase. An agent skill from Jaganpro/sf-skills.
Design and build waiting-list portals for anticipated goods or services: classify whether the experience needs interest capture, verified early access, referral growth, a virtual waiting room…
$ npx skills add magnus919/agent-skills --skill waiting-list -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install magnus919/agent-skills waiting-list --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/magnus919/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/waiting-list .claude/skills/waiting-list && 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 "waiting-list" agent skill from https://github.com/magnus919/agent-skills/tree/main/waiting-list into .claude/skills/waiting-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waiting-list", 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/magnus919/agent-skills/tree/main/waiting-listType 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 magnus919/agent-skills --skill waiting-list -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install magnus919/agent-skills waiting-list --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/waiting-list .agents/skills/waiting-list && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "waiting-list" agent skill from https://github.com/magnus919/agent-skills/tree/main/waiting-list into .agents/skills/waiting-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waiting-list", 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 magnus919/agent-skills --skill waiting-list -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install magnus919/agent-skills waiting-list --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/waiting-list .cursor/skills/waiting-list && 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 "waiting-list" agent skill from https://github.com/magnus919/agent-skills/tree/main/waiting-list into .cursor/skills/waiting-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waiting-list", 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/magnus919/agent-skills.git --path waiting-list--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 magnus919/agent-skills --skill waiting-list -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install magnus919/agent-skills waiting-list --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/waiting-list .gemini/skills/waiting-list && 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 "waiting-list" agent skill from https://github.com/magnus919/agent-skills/tree/main/waiting-list into .gemini/skills/waiting-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waiting-list", 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 magnus919/agent-skills waiting-listInstalls 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 magnus919/agent-skills --skill waiting-list -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/waiting-list .github/skills/waiting-list && 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 "waiting-list" agent skill from https://github.com/magnus919/agent-skills/tree/main/waiting-list into .github/skills/waiting-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waiting-list", 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 magnus919/agent-skills --skill waiting-list -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install magnus919/agent-skills waiting-list --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/waiting-list .opencode/skills/waiting-list && 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 "waiting-list" agent skill from https://github.com/magnus919/agent-skills/tree/main/waiting-list into .opencode/skills/waiting-list/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waiting-list", 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.
waiting-listDesign and build waiting-list portals for anticipated goods or services: classify whether the experience needs interest capture, verified early access, referral growth, a virtual waiting room…
Waiting List is an agent skill from magnus919/agent-skills. Design and build waiting-list portals for anticipated goods or services: classify whether the experience needs interest capture, verified early access, referral growth, a virtual waiting room, appointment backfill, or scarce-item allocation; choose a reversible architecture; and define the state machine, abuse controls, consent and email lifecycle, fairness, observability, and release gates. Optionally validate supplied email and phone contacts with expiring magic links or provider-managed verification, then feed…
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including reference files (for example `README.md`, `evals/evals.json` and `evals/trigger-queries.json`).
It sits in Sales & Support, covering Feature launches and release readiness, Authentication and Copywriting. The repository describes itself as: Curated collection of AI agent skills for Hermes and other agent frameworks. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 22b4723. 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.
From 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.
Waiting List loads about 4.7k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 230 tokens; SKILL.md has 2,277 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 magnus919/agent-skills at commit 22b4723, republished under its MIT licence (© magnus919). 2,277 words, ~4,693 tokens.
.claude/skills/waiting-list/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.Use this skill to turn “we need a waitlist” into a truthful product promise, an appropriate system boundary, and a buildable delivery plan. A list of interested people, a fair order of service, a traffic gate, and a reservation are different things. Never let a polished landing page silently choose the semantics.
Load this skill when the user is designing, reviewing, implementing, or comparing a portal for early access, product launch demand, scarce goods, appointments, memberships, events, beta programs, or high-traffic admission.
For a new marketing waitlist, use one static HTML page, Alpine.js (CSP build), Vite packaging, custom CSS, TypeScript API functions on Vercel's Node.js runtime, and managed Neon Postgres. Use Twilio Verify codes for email (with SendGrid) and optional SMS verification; keep the CRM selectable through server-side runtime configuration. Avoid Python backends and Rails. Go or Rust are explicit alternatives for a campaign whose existing hosting or requirements warrant them. These are defaults, not reasons to replace an existing working integration.
Read references/default-stack.md before building or deploying. It defines the provider posture, Vercel limitations, repository shape, worker execution, and escape hatches. Read references/brand-and-marketer-workflow.md for all new portals: gather the campaign brief, brand guide, logos, reference images, and optional video; show a branded preview before connecting production. Use templates/campaign-brief.md as the plain-language intake. The agent fills technical records; do not ask a marketer to select an ORM, framework, retry algorithm, or database schema. For a premium, cinematic, motion-rich, or reference-led campaign, also read references/engagement-and-visual-system.md and record its relevant experience brief, fallback, performance, and visual-test decisions. Treat a reference site as a source of observable interaction principles, not as permission to copy its brand, assets, source, layout, scarcity language, or product claims. Use approved supplied assets or original image-generated artwork for campaign heroes, product scenes, and editorial illustration. Preview generated artwork for approval before publication. Do not substitute CSS shapes or gradients, inline SVG drawings, canvas sketches, emoji, ASCII, or icon collages for campaign artwork unless the user explicitly requests that aesthetic. Programmatic graphics remain appropriate when geometry is the information, such as charts, diagrams, controls, and status indicators. Use templates/campaign-config.example.json as a server-side configuration example; its unset production choices must be resolved before enabling live sends.
Default campaign: email interest capture with required email confirmation, phone collection off, referrals off, no displayed rank, no implied reservation, and CRM awaiting connection. If SMS is enabled without a specified interaction, prefer managed OTP. An explicit SMS magic-link requirement overrides that default; preserve it and explain the provider capability boundary.
This skill can create deployments and send messages when used to implement a portal. Confirm the target, scope, and rollback path before acting. Read-only discovery may proceed without confirmation. Use existing authorization where it already covers those details; prepare local artifacts and previews first. Never describe a mock form as collecting real registrations.
Answer these questions in plain language:
Record assumptions as assumptions. Do not use “current position” when the operator may select by segment or fit; call it an interest list or an estimated rank instead.
Use the smallest pattern that makes the promise true. Combine patterns only when the boundary and transition are explicit.
| Pattern | System of record | Good default | Main trap |
|---|---|---|---|
| Interest list | Relational table, CRM, or ESP | Static/SSR page plus a server-side form endpoint and async email | It is not a queue; do not display a fabricated position |
| Verified early-access queue | Database plus event/outbox record | Unique program + normalized contact, double opt-in when appropriate, invite states | A verified email is not proof of a person or a purchase |
| Referral priority | Database event ledger | Immutable arrival key plus verified referral events and a versioned policy | Self-referrals, purchased traffic, and “viral” claims can corrupt fairness |
| Virtual waiting room | Edge/gateway plus durable queue | Signed admission token, cookie continuity, atomic admission, bounded polling | Admission to a page is not inventory authority or checkout serialization |
| Appointment backfill | Scheduling/capacity service | Match people to released slots, preferences, and expiry windows | A global FIFO queue may be unfair or operationally useless |
| Allocation, lottery, or preorder | Inventory/payment/allocation service | Separate eligibility from allocation, reservation, payment, and fulfillment | Calling an allocation “a waitlist” hides overselling and refund obligations |
| Headless/embedded API | Independent API and event boundary | Public write contract with scoped credentials, CORS, idempotency, and webhooks | A browser-held secret is not a server secret |
For a simple prelaunch page, start with the interest-list pattern. For a launch-day traffic spike, start with a virtual waiting-room or edge product. For a product or service whose scarce resource is the real problem, design the inventory or scheduling boundary first and attach the list to it.
Load references/architecture-patterns.md when comparing patterns, modeling scale, or deciding whether a queue, referral loop, reservation, or vendor is warranted.
When implementing, read references/implementation-contract.md for concrete endpoint, persistence, verification, CRM, and failure contracts.
Use opaque IDs and keep contact data out of URLs, logs, analytics labels, and public ranking pages. A useful baseline is:
submitted -> verification_pending -> active -> invited -> claimed
\-> suppressed/removed
invited -> expiredUse a separate queue/admission state for a waiting room:
identified -> queued -> admitted -> consumed
\-> abandoned/expiredIf the portal validates contacts, model each channel independently rather than
using one overloaded verified flag:
email: unrequested -> sent -> clicked/verified | expired/revoked
phone: unrequested -> sent -> clicked/verified | expired/revoked“Verified” means the channel's proof was accepted under a named method and timestamp. It does not prove legal identity, that the supplied person owns the account, that the number is suitable for marketing, or that the contact will remain accurate. Load references/contact-verification-and-crm.md when either contact proof or CRM delivery is in scope.
For each transition define the actor, precondition, side effect, retry behavior, audit event, and user-visible message. Store at least:
program_id, opaque entry_id, created_at, and a stable tie-break key;verified_at, expiry/revocation,
and consent purpose; do not store raw tokens;Make POST safe to retry with an idempotency key or a database uniqueness
constraint. Define duplicate behavior deliberately: normally return a generic
success for an already-known contact so the endpoint does not become an email
enumeration oracle. Do not expose a raw row count as a personal position unless
the ordering and visibility rules make that claim true.
The default path is:
page -> server endpoint -> validate/normalize -> abuse gates -> durable write
-> enqueue notification -> generic response
\-> worker/provider -> delivery eventsValidate on the server. Apply layered controls: schema and length limits, CSRF protection for same-origin forms, strict CORS for headless clients, per-IP and per-contact rate limits, honeypot or timing signals, and a bot challenge for higher-risk traffic. If using Turnstile, the server must call Siteverify; a browser token alone is not protection. Do not promise a specific latency such as “under 200 ms” until it is measured for the chosen provider and failure mode.
Write the entry and the notification intent transactionally or through a durable outbox. Make workers retryable and outbound webhooks idempotent. Keep the synchronous response short, but do not silently lose the email intent when the provider is unavailable.
Use double opt-in when list quality, consent proof, or typo resistance matters; make the unverified record's permissions and retention explicit. Separate transactional verification/invitation mail from marketing updates, honor suppression and unsubscribe state, authenticate the sending domain, and process bounces and complaints. Load references/operations-and-abuse.md for the detailed control checklist.
If CRM delivery is enabled, enqueue it only after the configured eligibility gate—often active contact verification and the relevant consent. Map only approved fields, use a server-side credential, and make the adapter retryable and idempotent. A CRM outage must not prevent confirmation of a durable local signup or silently lose the local record; it should leave a visible sync state and a recoverable outbox item.
For FIFO, assign the arrival/tie-break key exactly once in a durable atomic
operation. For segmentation, scoring, referrals, or lotteries, publish the
selection rule, inputs, policy version, and whether the outcome is guaranteed,
estimated, or discretionary. Recompute derived rank from durable facts; do not
let the client submit referrals_count, position, or priority.
For referral overlays:
For a virtual waiting room, use signed admission tokens verified locally where possible, cookie/session continuity, atomic queue transitions, jittered polling, and a deliberate fail-open versus fail-closed decision. Fail-open may protect availability for a marketing preview; it is unsafe as the sole control for scarce inventory. The downstream reservation, checkout, or allocation service still needs its own idempotency and concurrency controls.
The public flow should state what joining means, what data is collected, how to correct or leave, what happens next, and whether the position is fixed. Provide an accessible form, keyboard-visible errors, a no-JavaScript or retry story where practical, and generic duplicate/error messages that do not leak account existence. For a queue, show last-updated time and an honest estimate rather than false precision.
Operators need authenticated, least-privilege views for search, segments, status transitions, exports, invite batches, suppression, audit history, provider health, verification status, CRM sync status, and incident controls. Every manual bulk action needs a preview, scope, actor, timestamp, reason, and reversible path.
Use the template in templates/waitlist-decision-record.md for a durable decision. Test at least:
For an architecture or implementation response, return:
Lead with the marketer's preview, campaign choices, connection status, and next action. Retain the following engineering detail in project artifacts, linking to it rather than placing it in the main setup conversation:
Do not call a template production-ready based on its README, GitHub stars, or a successful happy-path demo. Inspect the actual code and current provider documentation, then retain the evidence and date it.
Stop when the promise, primary pattern, state machine, data boundary, abuse and email lifecycle, fairness/admission semantics, operator controls, and bounded validation plan are explicit. If contact verification is in scope, the proof semantics, token lifecycle, consent, abuse limits, and recovery path are also explicit; if CRM is in scope, its runtime configuration, field mapping, idempotency, retry/dead-letter handling, and suppression/deletion behavior are explicit. If a provider, legal rule, inventory fact, or current project capability is material and cannot be verified, report that blocker instead of filling the gap from memory.
For a build request, a decision record alone is insufficient. Deliver runnable HTML/JavaScript and TypeScript source, migrations, provider adapters, setup instructions, and retained functional/visual test evidence. Apply the release gates in references/release-evidence.md. Report preview, connected-test, and live readiness separately; untested provider configuration does not establish a working integration.
© magnus919, MIT. 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 15 other files (references) in waiting-list of magnus919/agent-skills.
Open the folder on GitHubat commit 22b4723
Waiting List 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 |
|---|---|---|---|---|---|---|
| Waiting List this skillmagnus919/agent-skills | 115 | — | ~4.7k | Automated safety check: Pass | MIT | |
| Sf Datacloud ActJaganpro/sf-skills | 424 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Sf Datacloud ConnectJaganpro/sf-skills | 424 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Sf Datacloud HarmonizeJaganpro/sf-skills | 424 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Ideogram Prod Checklistjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Vastai Prod Checklistjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | Automated safety check: Pass | MIT |
Jaganpro/sf-skills
Salesforce Data Cloud Act phase. An agent skill from Jaganpro/sf-skills.
Jaganpro/sf-skills
Salesforce Data Cloud Connect phase. An agent skill from Jaganpro/sf-skills.
Jaganpro/sf-skills
Salesforce Data Cloud Harmonize phase. An agent skill from Jaganpro/sf-skills.
jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
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magnus919/agent-skills
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magnus919/agent-skills
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Design and build waiting-list portals for anticipated goods or services: classify whether the experience needs interest capture, verified early access, referral growth, a virtual waiting room…. Waiting List is an agent skill from magnus919/agent-skills. Design and build waiting-list portals for anticipated goods or services: classify whether the experience needs interest capture, verified early access, referral growth, a virtual waiting room, appointment backfill, or scarce-item allocation; choose a reversible architecture; and define the state machine, abuse controls, consent and email lifecycle, fairness, observability, and release gates.
Waiting List fits situations like: prelaunch signups; traffic-spike queues; cinematic campaign experiences; generic landing-page copy.
Run `npx skills add magnus919/agent-skills --skill waiting-list -a claude-code`. Or copy the skill folder (waiting-list in magnus919/agent-skills) into .claude/skills/waiting-list in your project. Claude Code loads it when a task matches its description.
Run `npx skills add magnus919/agent-skills --skill waiting-list -a codex`. Or copy the skill folder (waiting-list in magnus919/agent-skills) into .agents/skills/waiting-list 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 magnus919/agent-skills --skill waiting-list -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/waiting-list, .gemini/skills/waiting-list, .github/skills/waiting-list and .opencode/skills/waiting-list in your project.
SKILL.md names no scripts, command-line tools or credentials: Waiting List is instructions for the agent only. Our summary lists: Python 3; Node.js.
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.
Waiting List is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.7k tokens (SKILL.md is roughly 19k 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 19k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Waiting List: Sf Datacloud Act (Jaganpro/sf-skills, 424 stars), Sf Datacloud Connect (Jaganpro/sf-skills, 424 stars), Sf Datacloud Harmonize (Jaganpro/sf-skills, 424 stars) and Ideogram Prod Checklist (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
magnus919 (a GitHub user) maintains it in magnus919/agent-skills, which has 115 GitHub stars. The repository holds 131 skills in this directory. The repository was last updated on October 10, 2026.
Source: magnus919/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.