Agent skill

Figma Handoff Gate

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Pre-ship gate for a Figma handoff. An agent skill from hashgraph-online/awesome-codex-plugins.

MITAuto-check passedAgent Workflows

Install Figma Handoff Gate

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill figma-handoff-gate -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins figma-handoff-gate --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/thiagoxikota/figma-maxxing/skills/figma-handoff-gate .claude/skills/figma-handoff-gate && 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
figma-handoff-gate
GitHub stars
1.3k
Token cost
~5k tokens
SKILL.md length
2,436 words
Files
1
Skills in repo
714
Repo updated
First seen
Licence
MIT

At a glance

Pre-ship gate for a Figma handoff. An agent skill from hashgraph-online/awesome-codex-plugins.

  • Works in 12 steps: Frame spacing → Frame-name clearance → Caption layout → …
  • The user says ready for handoff
  • SKILL.md covers When to fire, Validates against…, Output and Apply-fix commands, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Figma Handoff Gate is an agent skill from hashgraph-online/awesome-codex-plugins. Pre-ship gate for a Figma handoff. Runs 17 checks before a section is declared ready for developers: action completeness (every drawn action has a designed outcome, and inverse pairs such as add and remove both exist), annotation layout and contrast, dense spec cards with no AI stuffing, a hand-crafted surface with no trace of the process, and proof at the right scale. Run figma-slop-check first. Use when the user says "ready for handoff", "dev-tag", "release section", "spec card", "run the handoff gate", or in…

Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Read-only until a fix is approved. Detector snippets are Plugin API JavaScript written for figmaexecute (figma-console-mcp, Desktop Bridge plugin in Figma…

It sits in Agent Workflows. It works with Figma. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • The user says ready for handoff
  • Release section
  • Run the handoff gate
  • In Portuguese pronto pra handoff

Example prompts

  • “ready for handoff”
  • “dev-tag”
  • “release section”
  • “/figma-handoff-gate”

Requirements

  • Compatibility (from SKILL.md): Read-only until a fix is approved. Detector snippets are Plugin API JavaScript written for figma_execute (figma-console-mcp, Desktop Bridge plugin in Figma Desktop). The official Figma MCP server's use_figma also runs Plugin API JavaScript, but this gate was not validated there. Reads the figma-canon skill; approved fixes go through figma-preflight.

Workflow steps

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

  1. Frame spacing
  2. Frame-name clearance
  3. Caption layout
  4. Caption visual
  5. Spec card content
  6. Screen-count integrity
  7. State variants in Component sets
  8. 4-lens critique stamped
  9. Localization rule (applied per project)
  10. Self-correction in reports
  11. Em dash + curly quote sweep (mandatory)
  12. State coverage (all visible, not just happy path)

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. 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 (its code samples are javascript).

    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.

  • Compatibility

    Read-only until a fix is approved. Detector snippets are Plugin API JavaScript written for figma_execute (figma-console-mcp, Desktop Bridge plugin in Figma Desktop). The official Figma MCP server's use_figma also runs Plugin API JavaScript, but this gate was not validated there. Reads the figma-canon skill; approved fixes go through figma-preflight.

    From compatibility in the SKILL.md frontmatter.

Context cost

Figma Handoff Gate loads about 5k tokens when it runs. Until then it costs about 142 tokens; SKILL.md has 2,436 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~142
When it runs · the whole SKILL.md, loaded when a task matches
~5k

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 hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 2,436 words, ~5,049 tokens.

Download SKILL.mdSave it as .claude/skills/figma-handoff-gate/SKILL.md (or your agent's skills folder).
name
figma-handoff-gate
description
Pre-ship gate for a Figma handoff. Runs 17 checks before a section is declared ready for developers: action completeness (every drawn action has a designed outcome, and inverse pairs such as add and remove both exist), annotation layout and contrast, dense spec cards with no AI stuffing, a hand-crafted surface with no trace of the process, and proof at the right scale. Run figma-slop-check first. Use when the user says "ready for handoff", "dev-tag", "release section", "spec card", "run the handoff gate", or in Portuguese "pronto pra handoff".
compatibility
Read-only until a fix is approved. Detector snippets are Plugin API JavaScript written for figma_execute (figma-console-mcp, Desktop Bridge plugin in Figma Desktop). The official Figma MCP server's use_figma also runs Plugin API JavaScript, but this gate was not validated there. Reads the figma-canon skill; approved fixes go through figma-preflight.
license
MIT
metadata.author
Thiago Xikota
metadata.version
1.2.0

figma-handoff-gate

Pre-ship gate for handoff sections. It catches handoff-specific bugs that a slop and precision pass misses: orphan actions, weak annotations, inflated screen counts, process residue on the canvas, proof taken at the wrong scale.

Run figma-slop-check first. This gate assumes the screens already passed it.

The detector snippets below are Plugin API JavaScript. Run them through figma_execute (figma-console MCP server, Desktop Bridge plugin running in Figma Desktop). The gate reports. It changes nothing on the canvas until the user approves a fix (see "Apply-fix commands").

When to fire

  • Before declaring any handoff, PR or dev-tag deliverable done (dev-tag: a section marked as ready for developers).
  • After figma-slop-check passes on the same section.
  • On request: "run handoff gate on this section".

Validates against handoff-format.md canon

The canon is figma-canon/references/handoff-format.md. Its "Terms" section (figma-canon/references/handoff-format.md#terms) defines spec card, caption and note card, the three surfaces these checks name.

Required checks (all must pass). Report a broken requirement as [BLOCKER]. Report an item that a check only asks you to flag (for example a gap over 120px in check 1) as [WARN]. Any finding of either level puts the result in the FAIL template, which lists both as issues before ship.

1. Frame spacing
  • Sections with a right-side annotation column:
    • SCREEN_TO_ANNOTATION_GAP = 80px (screen right edge to annotation column left edge)
    • CLUSTER_TO_CLUSTER_GAP_H = 160px (cluster to next cluster)
    • ROW_GAP_V = 200px (cluster row to next cluster row)
    • SECTION_TITLE_CLEARANCE = 48px
  • Sections without per-screen annotations: uniform spacing of at least 80px between handoff frames, no tight clustering (under 60px = fail), no excess gaps (over 120px = flag)
  • See figma-canon/references/handoff-format.md#spacing-canon for the full table
2. Frame-name clearance
  • At least 24px gap above the first frame for label readability
  • Frame name visible without zooming
  • Section title not overlapping frame content
3. Caption layout
  • Badge + title: HUG horizontal frame
  • Body + triggers: AUTO + FILL vertical frame
  • NOT all-FILL inside HUG (the caption FILL-in-HUG overflow bug)
  • See figma-canon/references/handoff-format.md for the diagram
4. Caption visual
  • Subtle dashed border (1px, neutral color)
  • NO amber/yellow slop
  • NO heavy backgrounds
  • These rules cover captions (the content of a spec card). Note cards (checks 13 and 14) follow their own dark visual spec, including a small accent on their Why: / Edge: prefixes. That accent is part of the note card spec, not amber slop.
5. Spec card content
  • 3-5 bullets max per card
  • Each bullet = deliverable + value
  • NO internal jargon: ticket codes (TICKET-123), internal tool names ("the v2 validator"), registry or rule codes, and the like
  • NO @user_NNN placeholders (use realistic names or strip)
  • NO AI-stuffed verbose explanations. Check the copy against "Hype copy ban" in figma-canon/references/ai-slop-signatures.md
6. Screen-count integrity
  • Components / banners / sheets categorized SEPARATELY from screens
  • Screens numbered NN-name; components, banners and sheets are not in the screen count
  • No inflation: "12 screens" must be 12 actual screens
7. State variants in Component sets
8. 4-lens critique stamped
  • Has the work been viewed through the dev / designer / PM / CEO lenses?
  • See figma-canon/references/handoff-format.md#4-lens-pre-ship-critique-mandatory for the questions of each lens
  • Each lens catches a different gap class
  • Stamped means written down. If the conversation holds no record of the critique, run the four lenses now and print one line per lens in the gate output: what it found, or "none". That printed block is the stamp.
9. Localization rule (applied per project)
  • If the project has a localization rule, it is applied consistently across the whole handoff. For example, a project may keep the Figma source in one language and leave the others to app localization. Do not mix locales in one handoff.
  • No placeholders such as @user_123: replace them with realistic names in the file's language.
  • See figma-canon/references/handoff-format.md#project-locale-and-sample-names
10. Self-correction in reports
11. Em dash + curly quote sweep (mandatory)
  • Zero em dashes (U+2014) AND zero curly quotes or apostrophes (U+2019, U+2018, U+201C, U+201D) in any text node in the section
  • Treat both as AI/typographic tells. Replace the em dash with a period, comma, parentheses or a sentence break. Replace curly quotes with the straight ' and "
  • Sweep (must return empty):
js
findAll(section, n => n.type === "TEXT" && (n.characters.includes("\u2014") || /[\u2019\u2018\u201C\u201D]/.test(n.characters)))
  • findAll(section, fn) above is shorthand. In the Plugin API it is section.findAll(fn).
  • That sweep reads only the characters of TEXT nodes. This check also covers frame names and descriptions, so run a second sweep for those (must also return empty):
js
const re = /[\u2014\u2018\u2019\u201C\u201D]/;
const section = await figma.getNodeByIdAsync("123:456"); // the section's node id
const nodes = [section, ...section.findAll(() => true)];
return nodes
  .filter(n => re.test(n.name) || ("description" in n && re.test(n.description || "")))
  .map(n => ({ id: n.id, name: n.name }));
  • Curly characters slip in when copy is typed directly (field note, 2026-05: two possessives in handoff copy arrived with a curly apostrophe, U+2019). The canon is the straight apostrophe. On that project it also matched the existing UI copy.
  • Applies to: handoff annotations, captions, popup/sheet copy, panel text, descriptions, frame names
12. State coverage (all visible, not just happy path)
  • For a feature with M triggers + N bypass/error paths, the handoff must have at least 1 frame per case
  • Each distinct trigger condition gets its own frame, showing its own content and state. Field example: for a rule that detects and blocks certain input, one frame per detected input type, each with its own echoed content, its own highlight and its own status label
  • Each bypass path gets its own frame (for example a user tier that is exempt, or an input type the rule skips)
  • Each error/recovery state gets its own frame
  • Happy path / control included for comparison
  • Continuity states (post-success return with the draft preserved) included
  • Linked destinations (for example a policy page behind a "Why this rule?" link) included as separate frames
  • Group with section labels: "Main flow", "Variants" (on a detection feature, "Detection variants"), "Edge cases", "Continuity"
  • Required states per screen class: figma-canon/references/state-coverage.md
13. Annotation contrast (dark notes on light screens)
  • When the handoff shows light/white mockups, note cards and panels must be dark themed
  • This creates visual hierarchy between "the design" and "meta-content about the design"
  • Use the project's own dark tokens. With none, use these neutral values: card background #16181D, stroke #2A2E37, title #FFFFFF, body #C4C8D0
  • Accents: two accent colors from the project's tokens, one for the label and one for the Why: / Edge: prefixes (for example a green and an amber). With no project accent, use #E5484D (configurable) for the label. With no second accent, reuse the label accent for the prefixes, as figma-canon/references/handoff-format.md specifies.
14. Annotation pattern (2026-05-25, cross-project canon)
  • Annotations live in a right-side column per screen, top-aligned, 320px wide, 80px gap from the screen edge
  • Each note card uses the HandoffNote component instance (NOT raw frames). No prebuilt component ships with these skills: if the file has no annotation component, build one once from the spec in figma-canon/references/handoff-format.md, then reuse instances
  • Copy voice: When [trigger], [outcome]. (a human sentence: subject + verb + condition)
  • Schema: label + WHEN + WHAT (always) + WHY (only when non-obvious) + EDGE (only when the state varies)
  • Card density 30-100 words. Over 100 = split. Under 20 while the developer needs more = add WHY/EDGE
  • See figma-canon/references/handoff-format.md#annotation-pattern-cross-project-canon-2026-05-25
15. Action-completeness / flow closure (mandatory, the "no orphan actions" check)

The single most-repeated miss (field note, 2026-05: a developer saw an "add" action drawn and had to ask how removing would work). The developer builds exactly what is drawn: every visual action needs its outcome drawn, or the developer has to guess.

  • Enumerate, don't eyeball. For each new or changed screen, findAll every interactive element: buttons, CTAs, icon buttons, info/help (i) icons, toggles, radio/checkbox rows, list rows (tappable), chips, links, kebab/overflow menus, swipe affordances, FABs. List them.
    • No node type means "interactive", so build the list in two passes. First the wired nodes: screen.findAll(n => n.reactions && n.reactions.length > 0) (reactions live on nested children, not on the screen frame root: see "Prototype reads" in figma-canon/references/plugin-api-anomalies.md). Then walk the screen for the element types above that are drawn but not wired, by layer and component names and by eye. An unwired control is exactly what this check hunts.
    • Print each candidate as node id + name. The audit mode of figma-preflight ("Cross-screen flow") cross-checks the same screens for dangling CTAs and dead ends.
  • For EACH, name the designed outcome (a frame / sheet / state in the file). If the outcome does not exist as an artifact: FAIL (orphan action).
  • Inverse-pair law: if one direction exists, its inverse MUST exist. Add / Remove, Assign / Unassign, Open / Close or Dismiss, Enable / Disable, Mute / Unmute, Ban / Unban, Expand / Collapse, Follow / Unfollow, Pin / Unpin, Approve / Reject, Block / Unblock. An "Add another item" button with no remove path = FAIL.
  • Help/info icon law: any (i) / ? / help affordance MUST open a designed info screen or sheet (not a dangling icon).
  • Actor-symmetry law: any feature where one actor acts ON another needs BOTH surfaces designed: the actor's (admin/owner) AND the affected member's. Example: an admin can suspend a member, so the member's own screen showing the suspension must exist too. The admin side drawn without it = FAIL.
  • Destructive/irreversible law: delete / remove / ban / leave / reset needs a confirm state designed. The "after" (toast, empty state, updated list) needs to exist too.
  • Output an action -> outcome map in the gate result. Orphans are blockers, not warnings.

This is mechanical on purpose: it removes reliance on "remembering to design the whole flow". Run it as the LAST gate check before declaring the handoff done.

Show full SKILL.md (883 more words)Show less
16. Hand-crafted surface (client/owner-facing files)

Calibrated on a client handoff (field note, 2026-07). Rule: nothing in a delivered handoff may look machine-made; every surface must read as hand-crafted. In a file that a client, owner or external stakeholder will open:

  • Zero process log on the canvas: no QA log, no fix list, no "adversarial pass", no "sprint", no session changelog. Process notes (QA log, fix list) live outside the Figma file, in a project file of your choice or in the agent's own memory system if it has one, never in a visible frame.
  • Zero mention of a review or AI tool: ChatGPT, "external review/judgment", skill or pipeline names. A recommendation on a board is written in the designer's voice ("my recommendation is..."), never "reviews recommend".
  • Layout grids OFF on every delivered frame. Clones inherit visible grids and the canvas takes on an assembly-line look. Hide the grids and keep their definitions by reassigning a modified copy, the same clone-mutate-reassign pattern as fills (see figma-canon/references/plugin-api-core.md): frame.layoutGrids = frame.layoutGrids.map(g => ({ ...g, visible: false })).
  • Context boards belong to the designer: architecture, behavior contracts, handoff notes. Those stay. What leaves is the trace of HOW the work was produced.
  • Mechanical sweep: collect the TEXT nodes of the page with page.findAllWithCriteria({ types: ["TEXT"] }) and match them against a term list (ChatGPT, GPT, adversarial, fix list, sprint, QA, external review, prompt, plus the names of the AI tools, skills and pipelines your own process used), then triage the hits by hand. On a large page, raise the figma_execute timeout (default 5000 ms, maximum 30000 ms). Watch for false positives: "This is a prompt message." is the prompt slot of an iOS navigation bar, and a place name can contain "AI" as a substring ("Mumbai").
  • Process artifacts (review exports such as a zip of renders, file manifests, review verdicts) are PRIVATE to the designer. They never travel with the handoff.
17. Scale of proof + simulating the recipient (field note, 2026-08, paid for in production)

The checks above measure STRUCTURE. None of them measures USE, and all of them inherit the scale of the artifact you looked at. On one delivery of an options board, figma-slop-check (both lenses), this gate and a flow-graph audit (such as the audit mode of figma-preflight) all came back green, and four real defects survived.

17a. Proof of a small element is a capture of the NODE, at scale >= 2x. The send button of a composer was an empty ellipse, with no icon, on 16 screens. It had been checked several times on a render of the whole section scaled down to 40%, where 36px becomes a colored dot. Rule: list the elements under ~48px that you created or cloned (send button, chip, badge, toggle, avatar, icon) and capture ONE of each type in isolation, at 2x or more: figma_capture_screenshot with that element's nodeId and scale set to 2 or higher. A container render does not judge a small element.

17b. An entry point is not wiring. Wiring between frames and reachability are one axis. The starting point of the prototype is another. A perfectly connected graph can open on a random screen when the stakeholder presses Present. Before writing "clickable" or "you can walk through it", run:

js
figma.currentPage.flowStartingPoints.map(f => f.nodeId)

and confirm that the screens you are going to present are in the result. Flow starting points belong to a page, and figma.currentPage is whatever page is active, which another session or the designer can switch. Make sure the page that holds the prototype is the active one first (re-assert it from a known node, as in "findAllWithCriteria runs on figma.currentPage" in figma-canon/references/plugin-api-anomalies.md).

17c. Simulate the recipient, in writing. Before sending, answer as the recipient:

  • They press Play and land where?
  • Do they find the section, or is it 30 thousand pixels of scroll?
  • Does the text I wrote match what they see?
  • What new question does this screen create that the file does not answer?
  • If the artifact offers more than one alternative, can they decide, or did it become a menu with no bet?

Output

Pass
PASS figma-handoff-gate: all 17 checks clear. Handoff ship-ready.

Section: <section name>
Frames: <N>
Components used: <N>
Last verified: <timestamp>

Action -> outcome map:
<action> -> <frame name> (<node-id>)
...
Fail
FAIL figma-handoff-gate: <N> issue(s) before ship:

[BLOCKER] 1. <issue> -> location <node-id> -> apply-fix: <command>
[WARN]    2. <issue> -> location <node-id> -> fix: <description>
...

Action -> outcome map:
<action> -> <frame name> (<node-id>)
<action> -> ORPHAN
...

Run apply-fix commands OR address manually, then re-invoke gate.

Either result carries the action -> outcome map from check 15. Each orphan action is a [BLOCKER], never a [WARN].

Apply-fix commands

For automated fixes, the gate emits explicit commands like:

  • figma_execute: set frame "01-home" gap to 80px
  • figma_execute: rebind caption-body from FILL-in-HUG to AUTO+FILL

These are plain-language fix descriptions addressed to figma_execute, not tool syntax: figma_execute takes Plugin API JavaScript. At apply time, write that code for the approved fix.

The user approves each fix before execution. NO mass mutation. An approved fix is a write to the file, so it goes through figma-preflight like any other figma_execute write.

Decay

If frames are mutated AFTER a gate pass, re-run the gate before re-declaring done.

Composes with

  • figma-slop-check: runs BEFORE this gate (machine-made tells and precision pass first)
  • figma-canon: this gate reads figma-canon/references/handoff-format.md (every check) + figma-canon/references/ai-slop-signatures.md (checks 5 and 10: "Hype copy ban" and "Self-corrections in reports")
  • figma-preflight: gates every approved apply-fix write, and its audit mode cross-checks check 15
  • Your project's own build skill or workflow, if any: this gate is the final gate, after figma-slop-check. If such a workflow exists, it writes component descriptions and this gate does not. Either way, this gate validates frame layout and spec cards, and check 11 sweeps descriptions for dashes and curly quotes

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/thiagoxikota/figma-maxxing/skills/figma-handoff-gate of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Figma Handoff Gate 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.

Figma Handoff Gate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Figma Handoff Gate this skillhashgraph-online/awesome-codex-plugins1.3k—~5kAutomated safety check: PassMIT
MCP SDK Auditawdr74100/figwright995—~4.1kAutomated safety check: PassMIT
Integration Orchestratorrampstackco/claude-skills941—~5.3kAutomated safety check: PassMIT
Product Designqf-studio/navigator355—~5.1kAutomated safety check: NotesMIT
MCP ServerWellApp-ai/Well345—~679Automated safety check: PassMIT
Figma From Codebitovi/ai-enablement-prompts121—~7.4kAutomated safety check: PassMIT

Similar skills

  • MCP SDK Audit

    awdr74100/figwright

    Upgrade @modelcontextprotocol/server (the MCP TypeScript SDK v2) and prove the wire contract survived.

    995 GitHub stars~4.1k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Integration Orchestrator

    rampstackco/claude-skills

    Generate a phased delivery orchestration plan for creative-direction-driven work: which skills run when, what locks at which gate, how handoffs occur, and how the cadence implements in the team's…

    941 GitHub stars~5.3k tokensUpdated 2 days ago
    Agent WorkflowsAuto-check passed
  • Product Design

    qf-studio/navigator

    Automates design review, token extraction, component mapping, and implementation planning.

    355 GitHub stars~5.1k tokensUpdated yesterday
    Agent WorkflowsAuto-check: notes
  • MCP Server

    WellApp-ai/Well

    Guide for creating new MCP server integrations. An agent skill from WellApp-ai/Well.

    345 GitHub stars~679 tokensUpdated 2 days ago
    Agent WorkflowsAuto-check passed
  • Figma From Code

    bitovi/ai-enablement-prompts

    Orchestrates the full code-to-Figma rebuild workflow for a web application.

    121 GitHub stars~7.4k tokensUpdated 29 days ago
    Agent WorkflowsAuto-check passed
  • Figma From Code Build Component

    bitovi/ai-enablement-prompts

    Unified skill for figma-from-code Phase 3 per-component pipeline.

    121 GitHub stars~4.5k tokensUpdated 29 days ago
    Agent WorkflowsAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 714 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.3k GitHub stars~922 tokensUpdated yesterday
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.3k GitHub stars~1k tokensUpdated yesterday
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.3k GitHub stars~1.7k tokensUpdated yesterday
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.3k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed
  • Calle

    hashgraph-online/awesome-codex-plugins

    Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.3k GitHub stars~2.9k tokensUpdated yesterday
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.3k GitHub stars~618 tokensUpdated yesterday
    Auto-check passed

Works with

Categories

Questions about Figma Handoff Gate

What does Figma Handoff Gate do?

Pre-ship gate for a Figma handoff. An agent skill from hashgraph-online/awesome-codex-plugins. Figma Handoff Gate is an agent skill from hashgraph-online/awesome-codex-plugins. Pre-ship gate for a Figma handoff.

When should I use Figma Handoff Gate?

Figma Handoff Gate fits situations like: the user says ready for handoff; release section; run the handoff gate; in Portuguese pronto pra handoff.

How do I install Figma Handoff Gate in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill figma-handoff-gate -a claude-code`. Or copy the skill folder (plugins/thiagoxikota/figma-maxxing/skills/figma-handoff-gate in hashgraph-online/awesome-codex-plugins) into .claude/skills/figma-handoff-gate in your project. Claude Code loads it when a task matches its description.

How do I install Figma Handoff Gate in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill figma-handoff-gate -a codex`. Or copy the skill folder (plugins/thiagoxikota/figma-maxxing/skills/figma-handoff-gate in hashgraph-online/awesome-codex-plugins) into .agents/skills/figma-handoff-gate in your project. Codex loads it when a task matches its description.

Can I use Figma Handoff Gate 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 hashgraph-online/awesome-codex-plugins --skill figma-handoff-gate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figma-handoff-gate, .gemini/skills/figma-handoff-gate, .github/skills/figma-handoff-gate and .opencode/skills/figma-handoff-gate in your project.

What does Figma Handoff Gate need to run?

SKILL.md names no scripts, command-line tools or credentials: Figma Handoff Gate is instructions for the agent only. Compatibility (from SKILL.md): Read-only until a fix is approved. Detector snippets are Plugin API JavaScript written for figma_execute (figma-console-mcp, Desktop Bridge plugin in Figma Desktop). The official Figma MCP server's use_figma also runs Plugin API JavaScript, but this gate was not validated there. Reads the figma-canon skill; approved fixes go through figma-preflight..

Does Figma Handoff Gate 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 Figma Handoff Gate 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 Figma Handoff Gate use?

Figma Handoff Gate 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 Figma Handoff Gate use?

About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Figma Handoff Gate?

Skills that share tags, products or a category with Figma Handoff Gate: MCP SDK Audit (awdr74100/figwright, 995 stars), Integration Orchestrator (rampstackco/claude-skills, 941 stars), Product Design (qf-studio/navigator, 355 stars) and MCP Server (WellApp-ai/Well, 345 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Figma Handoff Gate?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.