Agent skill

Spek New

by jumppad-labs in jumppad-labs/jumppad

Create a new Specification for a feature. An agent skill from jumppad-labs/jumppad.

MPL-2.0Auto-check passedDevOps & Cloud

Install Spek New

skills CLI
$ npx skills add jumppad-labs/jumppad --skill spek-new -a claude-code

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

GitHub CLI
$ gh skill install jumppad-labs/jumppad spek-new --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/jumppad-labs/jumppad.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/spek-new .claude/skills/spek-new && 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
spek-new
GitHub stars
263
Token cost
~2.4k tokens
SKILL.md length
1,396 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MPL-2.0

At a glance

Create a new Specification for a feature. An agent skill from jumppad-labs/jumppad.

  • Works in 4 steps: Read the instruction carefully. → Perform the step — usually this means… → When the step is complete, run the goto… → …
  • DevOps & Cloud work in your project
  • SKILL.md covers Starting a new spec and Resuming an in-progress workflow
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spek New is an agent skill from jumppad-labs/jumppad. Create a new Specification for a feature.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud. The repository describes itself as: Modern cloud native development environments. The licence is MPL-2.0.

When your agent uses it

  • DevOps & Cloud work in your project

Example prompts

  • “/spek-new”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the instruction carefully.
  2. Perform the step — usually this means interviewing the user and capturing their answers. Some steps tell you to commit the gathered…
  3. When the step is complete, run the goto command named at the bottom of the instruction to advance the state machine.
  4. Read the next instruction from the new JSON response and repeat.

What it can do on your machine

Read from SKILL.md and the folder at commit 34289ff. 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

Spek New loads about 2.4k tokens when it runs. Until then it costs about 13 tokens; SKILL.md has 1,396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~13
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 jumppad-labs/jumppad at commit 34289ff, republished under its MPL-2.0 licence (© jumppad-labs). 1,396 words, ~2,368 tokens.

Download SKILL.mdSave it as .claude/skills/spek-new/SKILL.md (or your agent's skills folder).
name
spek-new
description
Create a new Specification for a feature.

Version check first. Before running any other command, run spektacular version check.

  • On status: "match", continue with the skill and produce no version-related output.
  • On "mismatch" or "missing", the installed Spektacular files are out of date: relay the response's action message to the user, ask them to re-run spektacular init <agent>, and wait for their decision before continuing.
  • Never modify or re-install any installed files yourself — refreshing the installation is always an explicit, user-initiated re-run of init.

STOP. Read this before running any command below. A single successful CLI call — including the very first spec new — is NOT task completion. It is not a milestone to report back to the user. It is one step out of many in a workflow that you must keep driving, turn after turn, without stopping, until the CLI itself tells you the workflow is finished. If you find yourself about to say "successfully completed" or summarize results after calling spec new or spec goto even once, you are wrong — go back and read the instruction field you just received, do what it says, and call goto again.

What this skill does

This skill drives a multi-step interactive workflow that produces a complete specification file at the spec_path returned by the CLI. The workflow is owned by the spektacular CLI, not by you — the CLI is the state machine and you are the executor.

On each turn, the CLI returns JSON containing an instruction field. That instruction describes exactly one step (e.g. overview, requirements, acceptance criteria, …). You must:

  1. Read the instruction carefully.
  2. Perform the step — usually this means interviewing the user and capturing their answers. Some steps tell you to commit the gathered content to the spec file.
  3. When the step is complete, run the goto command named at the bottom of the instruction to advance the state machine.
  4. Read the next instruction from the new JSON response and repeat.

This is a loop. Do not stop after the first step. Keep looping — step → goto → next instruction → step — until a returned instruction tells you the workflow is finished. Only then should you report completion to the user.

Concretely: do not stop after spec new. That command only starts the workflow — it returns the first instruction (the interview step), not a finished spec. Seeing a clean JSON response with no error is not a signal to stop; it is the signal to keep going. Reporting success, summarizing "spec initialized," or handing control back to the user at this point is the single most common way this skill is executed incorrectly — do not do it.

The interview step

Before any section is drafted, the workflow opens with an interview step: a single open-ended conversation, not a fixed script. You ask adaptive questions about what's being built, who it's for, and what constraints apply, following up on what the user has already said rather than working through a predetermined list. You have the project's full registered-repo roster available during this step — if the project spans more than one repo and the feature reads as focused on one of them, ask whether it also needs changes in another registered repo, shaped by what that other repo actually is (for example, a documentation repo invites asking whether docs need updating). Stop the interview once further questions wouldn't materially change the draft, not once every conceivable detail has been asked about — this should take a small number of exchanges, not an exhaustive back-and-forth. Save your synthesized understanding (not a transcript) to .spektacular/work/<spec_name>/interview.md with your own Write tool before advancing; every later section step drafts from this file and presents its draft back for confirmation, rather than asking its own scripted question from a blank prompt. A session interrupted mid-interview resumes on the interview step itself — read back .spektacular/work/<spec_name>/interview.md (if partially written) and .spektacular/context.md before continuing the conversation.

Reading and writing the spec file

The CLI owns the spec file. Never read or write it with the Write, Edit, or Read tools — those bypass Spektacular and the configured spec directory. All spec file access goes through spektacular spec file:

  • spektacular spec file read <name>.md — read a spec file from the spec store.
  • spektacular spec file write <name>.md --from <source-path> — write a spec file into the spec store from a source file on disk. Stage the body under .spektacular/tmp/ first, then rm the scratch file after a successful write.
  • spektacular spec file list — list spec files in the spec store.

Path arguments are spec file names; spec file resolves them against the configured spec directory itself.

Working files vs. the store document

While you gather each section, write that section's agreed content directly to its own git-tracked working file under .spektacular/work/<spec_name>/<section>.md using your own Write tool. These working files are not store documents — writing them directly with Write is correct and expected, and is the one deliberate exception to the "never use Write/Edit" rule above. That rule protects only the final assembled spec, which is written solely through spektacular spec file write. The per-section working files are scratch-but-durable: the verification step reads them back to assemble the final spec, and then the working directory is removed once the store write succeeds.

.spektacular/context.md has a narrower role: it holds only your cross-cutting learnings and the answers the user gave to your questions — never a copy of section content (that lives in the per-section working files). On resume, read back both the section working files in .spektacular/work/<spec_name>/ and .spektacular/context.md, so you continue from the interrupted step without re-asking for sections already completed.

Show full SKILL.md (487 more words)Show less

How to start

First, check whether a workflow is already in progress — before asking the user for a spec name. Run the new command with no --data:

spektacular spec new

This reads the project's single workflow state and changes nothing on disk. One of two things comes back:

  • A resume report — a JSON object with "resumable": true plus the in-progress workflow's kind, name, and current_step, and an instruction field. A workflow was interrupted and is still in progress. Do not prompt for a spec name — the in-progress workflow already has one. Handle it under "Resuming an in-progress workflow" below. (It may be a different kind — a plan or implement run left open.)
  • An error that a name is required — no workflow is in progress, so there is nothing to resume. Proceed to "Starting a new spec" below.

Starting a new spec

Only once you know there is no workflow to resume:

Ask the user for a spec name now. If the user needs to see what names already exist to avoid collisions, run spektacular spec file list — do not use ls, find, or the Read tool against .spektacular/specs/; the CLI's list is the source of truth for what counts as a spec. Then run:

spektacular spec new --data '{"name": "<spec_name>"}'

External systems may also supply an identifier with:

spektacular spec new --data '{"name": "<spec_name>", "id": "<external_id>"}'

The CLI may normalize and prefix the requested name. Always use the returned spec_name and spec_path as the source of truth for follow-up workflows.

The command creates the spec file and state file automatically and returns the first instruction. From that point on, follow the loop above: do what the instruction says, then call spektacular spec goto --data '{"step":"<next_step>"}' to get the next one. Do not invent step names — every instruction tells you the exact goto command to run next.

Resuming an in-progress workflow

When the in-progress check above returns a resume report:

First check the report's kind. If it is not spec, a different workflow (a plan or implement run) is in progress — you cannot resume it from the spec skill, and the CLI will refuse to. Do not run a spec goto. Instead follow the report's instruction: tell the user a <kind> workflow is in progress and let them choose — continue it with that workflow's skill (spektacular <kind> goto), or discard it and start the spec with spektacular spec new --force. Only proceed with the steps below when the report's kind is spec.

  1. Ask the user whether to resume the in-progress spec or start a new one. (The report's instruction field restates both options.)

  2. To resume, first read back the previous session's work with your own file tools: the per-section working files under .spektacular/work/<name>/ (sections already completed) and .spektacular/context.md (learnings + the user's answers). Then run the resume command using the report's current_step:

    spektacular spec goto --data '{"step":"<current_step>"}'
  3. To start fresh instead (discarding the in-progress workflow — it remains recoverable via git), re-run with --force and a name:

    spektacular spec new --force --data '{"name": "<spec_name>"}'

© jumppad-labs, MPL-2.0. 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 .claude/skills/spek-new of jumppad-labs/jumppad.

Open the folder on GitHubat commit 34289ff

Compare with similar skills

Spek New 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.

Spek New compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spek New this skilljumppad-labs/jumppad263—~2.4kAutomated safety check: PassMPL-2.0
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw36k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence
Openclaw Live Updateropenclaw/openclaw392k—~3.7kAutomated safety check: PassMIT

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Categories

Questions about Spek New

What does Spek New do?

Create a new Specification for a feature. An agent skill from jumppad-labs/jumppad. Spek New is an agent skill from jumppad-labs/jumppad. Create a new Specification for a feature.

When should I use Spek New?

Spek New fits situations like: devOps & Cloud work in your project.

How do I install Spek New in Claude Code?

Run `npx skills add jumppad-labs/jumppad --skill spek-new -a claude-code`. Or copy the skill folder (.claude/skills/spek-new in jumppad-labs/jumppad) into .claude/skills/spek-new in your project. Claude Code loads it when a task matches its description.

How do I install Spek New in Codex?

Run `npx skills add jumppad-labs/jumppad --skill spek-new -a codex`. Or copy the skill folder (.claude/skills/spek-new in jumppad-labs/jumppad) into .agents/skills/spek-new in your project. Codex loads it when a task matches its description.

Can I use Spek New 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 jumppad-labs/jumppad --skill spek-new -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spek-new, .gemini/skills/spek-new, .github/skills/spek-new and .opencode/skills/spek-new in your project.

What does Spek New need to run?

SKILL.md names no scripts, command-line tools or credentials: Spek New is instructions for the agent only.

Does Spek New 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 Spek New 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 Spek New use?

Spek New is published under the MPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spek New use?

About 2.4k tokens (SKILL.md is roughly 9.5k 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 Spek New?

Skills that share tags, products or a category with Spek New: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spek New?

jumppad-labs (a GitHub organization) maintains it in jumppad-labs/jumppad, which has 263 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 1, 2026.

Source: jumppad-labs/jumppad on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.