Agent skill

Waiting List

by magnus919 in 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…

MITAuto-check passedSales & Support

Install Waiting List

skills CLI
$ npx skills add magnus919/agent-skills --skill waiting-list -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install magnus919/agent-skills waiting-list --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
waiting-list
GitHub stars
115
Token cost
~4.7k tokens
SKILL.md length
2,277 words
Files
16 (incl. references)
Skills in repo
131
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 7 steps: Write the promise before choosing… → Select one primary pattern → Define the state machine and data contract → …
  • Prelaunch signups
  • SKILL.md covers When to load, When not to use, Core workflow and Output contract, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Prelaunch signups
  • Traffic-spike queues
  • Cinematic campaign experiences
  • Generic landing-page copy

Example prompts

  • “/waiting-list”

Requirements

  • Python 3
  • Node.js

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Write the promise before choosing technology
  2. Select one primary pattern
  3. Define the state machine and data contract
  4. Build the normal request path
  5. Make ranking and admission truthful
  6. Design the user and operator surfaces
  7. Verify before calling it ready

What it can do on your machine

Read from SKILL.md and the folder at commit 22b4723. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~230
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~24k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from magnus919/agent-skills at commit 22b4723, republished under its MIT licence (© magnus919). 2,277 words, ~4,693 tokens.

Download SKILL.mdSave it as .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.
name
waiting-list
description
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 eligible, consented records to a runtime-configured CRM adapter. Use for prelaunch signups, beta access, launches, bookings, reservations, traffic-spike queues, and premium or cinematic campaign experiences. Do not use for generic landing-page copy, ordinary CRM or email operations, or checkout and inventory systems in isolation; route those parts to the appropriate specialist skill.
license
MIT
metadata.source-index
references/source-index.md

Waiting-list portals

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.

When to load

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.

When not to use

  • For copy, visual design, SEO, or accessibility in isolation, use the relevant frontend or content skill and bring this skill in only for the list behavior.
  • For a general API, database, email, security, or payment implementation, use the owning specialist skill; this skill supplies the waitlist-specific contract and failure modes.
  • For a live waiting-room vendor or queue datastore, read its current official documentation. This skill is a design method, not a substitute for vendor runbooks or legal advice.
  • For a standalone CRM migration or email/SMS campaign, use the owning integration skill. Load this skill when the CRM is a downstream of the waitlist's verified-contact lifecycle.

Core workflow

Default posture and marketer experience

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.

1. Write the promise before choosing technology

Answer these questions in plain language:

  1. What does joining mean: interest, a place in line, eligibility for an invitation, a chance in an allocation, or a request for a service slot?
  2. What, if anything, is guaranteed? State explicitly that joining does not reserve inventory, payment priority, an appointment, or admission unless a separate confirmed action does so.
  3. What event advances the person: verification, capacity, a scheduled release, a cancellation, a score, a referral, a lottery, or an operator decision?
  4. Which contact proofs are optional, required, or absent? What does a verified email or phone actually authorize, for how long, and what happens when an invitation expires, a person unsubscribes, or a duplicate arrives?
  5. What must be true at launch: peak arrivals, acceptable loss, fairness rule, regions, accessibility, languages, data residency, integrations, and rollback path?

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.

2. Select one primary pattern

Use the smallest pattern that makes the promise true. Combine patterns only when the boundary and transition are explicit.

PatternSystem of recordGood defaultMain trap
Interest listRelational table, CRM, or ESPStatic/SSR page plus a server-side form endpoint and async emailIt is not a queue; do not display a fabricated position
Verified early-access queueDatabase plus event/outbox recordUnique program + normalized contact, double opt-in when appropriate, invite statesA verified email is not proof of a person or a purchase
Referral priorityDatabase event ledgerImmutable arrival key plus verified referral events and a versioned policySelf-referrals, purchased traffic, and “viral” claims can corrupt fairness
Virtual waiting roomEdge/gateway plus durable queueSigned admission token, cookie continuity, atomic admission, bounded pollingAdmission to a page is not inventory authority or checkout serialization
Appointment backfillScheduling/capacity serviceMatch people to released slots, preferences, and expiry windowsA global FIFO queue may be unfair or operationally useless
Allocation, lottery, or preorderInventory/payment/allocation serviceSeparate eligibility from allocation, reservation, payment, and fulfillmentCalling an allocation “a waitlist” hides overselling and refund obligations
Headless/embedded APIIndependent API and event boundaryPublic write contract with scoped credentials, CORS, idempotency, and webhooksA 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.

3. Define the state machine and data contract

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:

text
submitted -> verification_pending -> active -> invited -> claimed
                                  \-> suppressed/removed
invited -> expired

Use a separate queue/admission state for a waiting room:

text
identified -> queued -> admitted -> consumed
                     \-> abandoned/expired

If the portal validates contacts, model each channel independently rather than using one overloaded verified flag:

text
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;
  • normalized-contact uniqueness with a documented normalization version and protected original; plan key rotation if keyed lookup hashes are introduced;
  • consent purpose, source/UTM attribution, verification and suppression times;
  • explicit status, policy/version identifiers, invitation/claim expiry, and only the attributes needed for selection or service matching;
  • referral code ownership and referral events, if enabled; never infer counts from mutable client state;
  • per-channel verification method, proof ID, verified_at, expiry/revocation, and consent purpose; do not store raw tokens;
  • CRM sync status, mapping/version, provider record ID, idempotency key, and last error; keep this as integration state, not as the waitlist's source of truth;
  • an append-only audit/event record for state changes and outbound effects.

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.

Show full SKILL.md (920 more words)Show less
4. Build the normal request path

The default path is:

text
page -> server endpoint -> validate/normalize -> abuse gates -> durable write
     -> enqueue notification -> generic response
                                      \-> worker/provider -> delivery events

Validate 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.

5. Make ranking and admission truthful

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:

  • generate unguessable, revocable codes and treat them as attribution tokens, not authorization;
  • count only eligible downstream entries after the required verification and deduplication window; record both the click and the conversion;
  • prevent self-referral and obvious automation, cap influence, and preserve the original queue key so the policy can be changed or removed;
  • show a clear benefit and a range/estimate when competing events can change rank. Obtain legal and policy review before tying commercial rewards to forwarding or referrals.

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.

6. Design the user and operator surfaces

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.

7. Verify before calling it ready

Use the template in templates/waitlist-decision-record.md for a durable decision. Test at least:

  • duplicate and concurrent submissions, retries, replayed verification and invite tokens, expired claims, and webhook duplicates/out-of-order delivery;
  • bot bursts, rate-limit behavior, queue churn, abandoned sessions, provider outage, database outage, and fail-open/closed behavior;
  • ranking invariants, referral abuse, allocation oversell, reservation expiry, and operator bulk-action rollback;
  • accessibility, privacy/retention, suppression/unsubscribe, generic error messaging, and no-JavaScript or slow-network behavior;
  • verification link/code replay, expiry, resend throttling, scanner/prefetch behavior, wrong-channel attempts, and CRM mapping, retry, deduplication, deletion/suppression propagation;
  • a representative peak-load test and a manual review of the rendered mobile and desktop experience.

Output contract

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:

  1. the named promise and selected primary pattern;
  2. a context diagram and state/transition table;
  3. schema and endpoint/event contracts, including idempotency and privacy;
  4. optional email/phone proof semantics and the runtime CRM mapping/outbox;
  5. abuse, email, fairness, accessibility, and failure-mode controls;
  6. an incremental build order with a reversible fallback;
  7. tests, operational signals, and an explicit list of unknowns.

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.

Completion criteria

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

Files

SKILL.md and 15 other files (references) in waiting-list of magnus919/agent-skills.

  • SKILL.md
  • README.md
  • evals/evals.json
  • evals/trigger-queries.json
  • references/architecture-patterns.md
  • references/brand-and-marketer-workflow.md
  • references/contact-verification-and-crm.md
  • references/default-stack.md
  • references/engagement-and-visual-system.md
  • references/implementation-contract.md
  • references/operations-and-abuse.md
  • references/release-evidence.md
  • references/source-index.md
  • templates/campaign-brief.md
  • templates/campaign-config.example.json
  • templates/waitlist-decision-record.md

Open the folder on GitHubat commit 22b4723

Compare with similar skills

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.

Waiting List compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Waiting List this skillmagnus919/agent-skills115—~4.7kAutomated safety check: PassMIT
Sf Datacloud ActJaganpro/sf-skills424—~1.3kAutomated safety check: PassMIT
Sf Datacloud ConnectJaganpro/sf-skills424—~1.9kAutomated safety check: PassMIT
Sf Datacloud HarmonizeJaganpro/sf-skills424—~1.2kAutomated safety check: PassMIT
Ideogram Prod Checklistjeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Vastai Prod Checklistjeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT

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Questions about Waiting List

What does Waiting List do?

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.

When should I use Waiting List?

Waiting List fits situations like: prelaunch signups; traffic-spike queues; cinematic campaign experiences; generic landing-page copy.

How do I install Waiting List in Claude Code?

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.

How do I install Waiting List in Codex?

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.

Can I use Waiting List in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Waiting List need to run?

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.

Does Waiting List access the network?

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.

Is Waiting List safe to install?

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.

What licence does Waiting List use?

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.

How many tokens does Waiting List use?

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.

What are the alternatives to Waiting List?

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.

Who maintains Waiting List?

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.