Agent skill

Spektacular Plan Implementation

by jumppad-labs in jumppad-labs/jumppad

Executes an approved plan step by step through the spektacular CLI, which acts as the state machine, producing code, tests and a changelog.

MPL-2.0Auto-check passedAgent Workflows

Install Spektacular Plan Implementation

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

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

GitHub CLI
$ gh skill install jumppad-labs/jumppad spek-implement --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-implement .claude/skills/spek-implement && 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-implement
GitHub stars
263
Token cost
~1.8k tokens
SKILL.md length
1,057 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MPL-2.0

At a glance

Executes an approved plan step by step through the spektacular CLI, which acts as the state machine, producing code, tests and a changelog.

  • Works in 4 steps: Read the instruction carefully. → Perform the step — this may mean reading… → When the step is complete, run the goto… → …
  • Implementing a feature from a plan that was already approved in Spektacular
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Continuing a half-finished Spektacular implementation workflow

What it does

The skill drives a multi-step interactive workflow in which the spektacular CLI owns the state and the agent does the work. Each turn the CLI returns JSON with an instruction describing one step, such as analyzing, implementing a phase, verifying, updating the changelog or writing a test plan. The agent performs the step, which may involve reading the plan, spawning subagents, editing code or running tests, then runs the goto command named in the instruction and repeats.

A version check comes first. If the installed Spektacular files no longer match the CLI, the agent relays the message and asks you to re-run spektacular init instead of refreshing files itself. The skill also insists that one successful call, even implement new, is not completion: the agent keeps looping until an instruction says the workflow is finished, and only then reports back. The excerpt ends before the later steps.

When your agent uses it

  • Implementing a feature from a plan that was already approved in Spektacular
  • Continuing a half-finished Spektacular implementation workflow
  • Producing code, tests and a changelog entry in CLI-guided phases

Example prompts

  • “Implement the approved plan for the new CLI flag using spektacular.”
  • “Resume the implement workflow where it stopped and keep going until the CLI says it is finished.”

Requirements

  • The spektacular CLI
  • An approved plan in the plan store

Workflow steps

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

  1. Read the instruction carefully.
  2. Perform the step — this may mean reading the plan, spawning subagents, editing code, running tests, or writing to the changelog.
  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

Spektacular Plan Implementation loads about 1.8k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 1,057 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~16
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 1,057 words, ~1,784 tokens.

Download SKILL.mdSave it as .claude/skills/spek-implement/SKILL.md (or your agent's skills folder).
name
spek-implement
description
Execute an approved Plan to implement the 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 implement 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 implement new or implement 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 executes an approved plan held in the plan store, producing working code, tests, and a changelog. The workflow is owned by the spektacular CLI, not by you — the CLI is the state machine and you are the executor, and the CLI (not the filesystem) is how you reach every plan document.

On each turn, the CLI returns JSON containing an instruction field. That instruction describes exactly one step (e.g. analyze, implement a phase, verify, update changelog, write the test plan, …). You must:

  1. Read the instruction carefully.
  2. Perform the step — this may mean reading the plan, spawning subagents, editing code, running tests, or writing to the changelog.
  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 implement new. That command only starts the workflow — it returns the first instruction, not a finished implementation. Seeing a clean JSON response with no error is not a signal to stop; it is the signal to keep going. Reporting success, summarizing "implementation 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.

Reading and writing plan files

The CLI owns the plan documents — plan.md, context.md, and research.md. Never read or write them with the Write, Edit, or Read tools — those bypass Spektacular and the configured plan directory. All plan document access goes through spektacular plan file:

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

This includes the edits the implement workflow makes to plan.md — ticking phase checkboxes and appending changelog entries. Read the document with plan file read, apply the change, and commit it with plan file write. Never edit a plan document in place with the Edit tool. Path arguments are plan-directory-relative document paths (e.g. my-feature/plan.md).

Show full SKILL.md (466 more words)Show less

How to start

Cross-repo implementation. When the plan attributes work to registered member repos, carry each part of the work out in its attributed repo's code (spektacular repo list reports where it lives as root), and follow the workflow's changelog instructions to write the central record plus one derived entry per affected repo via spektacular changelog file write ... --repo <name>.

Ask the user which plan to implement before proceeding. To enumerate the available plans, run spektacular plan file list — the CLI's list is the source of truth for what counts as a plan. Do not use ls, find, or the Read tool against .spektacular/plans/ to discover plans; those bypass Spektacular's configured plan directory and may show entries the CLI does not consider valid. You don't need to look for an in-progress workflow yourself — the CLI detects and reports one for you (see below).

The plan must already exist in the plan store — confirm with spektacular plan file list. If it does not, stop and tell the user to run spektacular plan first.

Start the implement workflow by running:

spektacular implement new --data '{"name": "<plan_name>"}'

If a workflow was interrupted and is still in progress, this command does not start a fresh one. Instead it returns a resume report — a JSON object with "resumable": true plus the in-progress workflow's kind, name, and current_step, and an instruction field — and changes nothing on disk. When you get a resume report:

First check the report's kind. If it is not implement, a different workflow (a spec or plan run) is in progress — you cannot resume it from the implement skill, and the CLI will refuse to. Do not run an implement 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 implement run with spektacular implement new --force. Only proceed with the steps below when the report's kind is implement.

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

  2. To resume, first read .spektacular/context.md — the git-tracked working-context file the previous session left behind — to recover its learnings and the answers you gave to the user's questions, then run the resume command using the report's current_step:

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

    spektacular implement new --force --data '{"name": "<plan_name>"}'

Otherwise the command returns the first instruction and a fresh workflow has started. From that point on, follow the loop above: do what the instruction says, then call spektacular implement 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.

© 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-implement of jumppad-labs/jumppad.

Open the folder on GitHubat commit 34289ff

Compare with similar skills

Spektacular Plan Implementation 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.

Spektacular Plan Implementation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spektacular Plan Implementation this skilljumppad-labs/jumppad263—~1.8kAutomated safety check: PassMPL-2.0
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
PRP Loop: Autonomous PipelineWirasm/prp2.3k—~863Automated safety check: PassMIT
Implementation Plan Writerimbue-ai/bouncer400—~2.1kAutomated safety check: PassAGPL-3.0
Spec-Driven Development v2LichAmnesia/lich-skills234—~3.1kAutomated safety check: PassMIT
Loop FactoryJuliusBrussee/skills161—~2kAutomated safety check: PassMIT

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Questions about Spektacular Plan Implementation

What does Spektacular Plan Implementation do?

Executes an approved plan step by step through the spektacular CLI, which acts as the state machine, producing code, tests and a changelog. The skill drives a multi-step interactive workflow in which the spektacular CLI owns the state and the agent does the work. Each turn the CLI returns JSON with an instruction describing one step, such as analyzing, implementing a phase, verifying, updating the changelog or writing a test plan.

When should I use Spektacular Plan Implementation?

Spektacular Plan Implementation fits situations like: implementing a feature from a plan that was already approved in Spektacular; continuing a half-finished Spektacular implementation workflow; producing code, tests and a changelog entry in CLI-guided phases.

How do I install Spektacular Plan Implementation in Claude Code?

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

How do I install Spektacular Plan Implementation in Codex?

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

Can I use Spektacular Plan Implementation 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-implement -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-implement, .gemini/skills/spek-implement, .github/skills/spek-implement and .opencode/skills/spek-implement in your project.

What does Spektacular Plan Implementation need to run?

SKILL.md names no scripts, command-line tools or credentials: Spektacular Plan Implementation is instructions for the agent only. Our summary lists: The spektacular CLI; An approved plan in the plan store.

Does Spektacular Plan Implementation 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 Spektacular Plan Implementation 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 Spektacular Plan Implementation use?

Spektacular Plan Implementation 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 Spektacular Plan Implementation use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 Spektacular Plan Implementation?

Skills that share tags, products or a category with Spektacular Plan Implementation: OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars), PRP Loop: Autonomous Pipeline (Wirasm/prp, 2.3k stars), Implementation Plan Writer (imbue-ai/bouncer, 400 stars) and Spec-Driven Development v2 (LichAmnesia/lich-skills, 234 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spektacular Plan Implementation?

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.