OpenSpec Guided Onboarding
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
Executes an approved plan step by step through the spektacular CLI, which acts as the state machine, producing code, tests and a changelog.
$ npx skills add jumppad-labs/jumppad --skill spek-implement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jumppad-labs/jumppad spek-implement --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/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-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "spek-implement" agent skill from https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implement into .claude/skills/spek-implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spek-implement", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jumppad-labs/jumppad --skill spek-implement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jumppad-labs/jumppad spek-implement --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jumppad-labs/jumppad.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/spek-implement .agents/skills/spek-implement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "spek-implement" agent skill from https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implement into .agents/skills/spek-implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spek-implement", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jumppad-labs/jumppad --skill spek-implement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jumppad-labs/jumppad spek-implement --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jumppad-labs/jumppad.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/spek-implement .cursor/skills/spek-implement && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "spek-implement" agent skill from https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implement into .cursor/skills/spek-implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spek-implement", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jumppad-labs/jumppad.git --path .claude/skills/spek-implement--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jumppad-labs/jumppad --skill spek-implement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jumppad-labs/jumppad spek-implement --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jumppad-labs/jumppad.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/spek-implement .gemini/skills/spek-implement && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "spek-implement" agent skill from https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implement into .gemini/skills/spek-implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spek-implement", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jumppad-labs/jumppad spek-implementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jumppad-labs/jumppad --skill spek-implement -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jumppad-labs/jumppad.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/spek-implement .github/skills/spek-implement && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "spek-implement" agent skill from https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implement into .github/skills/spek-implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spek-implement", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jumppad-labs/jumppad --skill spek-implement -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jumppad-labs/jumppad spek-implement --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jumppad-labs/jumppad.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/spek-implement .opencode/skills/spek-implement && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "spek-implement" agent skill from https://github.com/jumppad-labs/jumppad/tree/main/.claude/skills/spek-implement into .opencode/skills/spek-implement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spek-implement", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
spek-implementExecutes 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. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 34289ff. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from jumppad-labs/jumppad at commit 34289ff, republished under its MPL-2.0 licence (© jumppad-labs). 1,057 words, ~1,784 tokens.
.claude/skills/spek-implement/SKILL.md (or your agent's skills folder).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'sactionmessage to the user, ask them to re-runspektacular 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 callingimplement neworimplement gotoeven once, you are wrong — go back and read theinstructionfield you just received, do what it says, and callgotoagain.
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:
instruction carefully.goto command named at the bottom of the instruction to advance the state machine.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.
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).
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 listreports where it lives asroot), and follow the workflow's changelog instructions to write the central record plus one derived entry per affected repo viaspektacular 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.
Ask the user whether to resume the in-progress implement run or start a new one. (The report's instruction field restates both options.)
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>"}'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
Just SKILL.md in .claude/skills/spek-implement of jumppad-labs/jumppad.
Open the folder on GitHubat commit 34289ff
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Spektacular Plan Implementation this skilljumppad-labs/jumppad | 263 | — | ~1.8k | Automated safety check: Pass | MPL-2.0 | |
| OpenSpec Guided OnboardingFission-AI/OpenSpec | 71k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| PRP Loop: Autonomous PipelineWirasm/prp | 2.3k | — | ~863 | Automated safety check: Pass | MIT | |
| Implementation Plan Writerimbue-ai/bouncer | 400 | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Spec-Driven Development v2LichAmnesia/lich-skills | 234 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Loop FactoryJuliusBrussee/skills | 161 | — | ~2k | Automated safety check: Pass | MIT |
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
Wirasm/prp
Runs a detached, resumable loop that plans, implements, opens a PR, reviews and fixes a feature across headless CLI sessions until the review is clean.
imbue-ai/bouncer
Turns a feature's goals, requirements and architecture documents into a set of self-contained task files that a developer with no project context can follow.
LichAmnesia/lich-skills
Organizes long-running agent work into a Project, Sprint and Task hierarchy with per-task state files, isolated worktrees, review loops and script-checked rules.
JuliusBrussee/skills
Run a spec-driven agent loop where coding tasks live as markdown specs that move through inbox → active → archive, get implemented by Claude Code or Codex, and pass a review gate before they count…
kunstmusik/blue
Execute the implementation plan by processing and executing all tasks defined in tasks.md
jumppad-labs/jumppad
Pulls a GitHub issue's description, comments, labels, assignees, milestone and linked pull requests into one markdown report so the agent can plan a fix.
jumppad-labs/jumppad
Sets idiomatic Go conventions with a test-first workflow, using testify/require for assertions and mockery for mocks, for new features, packages and refactors.
jumppad-labs/jumppad
Builds detailed implementation plans through interactive questions, parallel research agents and template files for context, research, plan and tasks, from an issue or a plan name.
jumppad-labs/jumppad
Routes natural-language requests to look up, add or update entries in a project's knowledge store by calling the spektacular knowledge CRUD commands directly, without a multi-step CLI flow.
jumppad-labs/jumppad
Add a repo to the current Spektacular project through a guided conversation, inspect the registry, and repair a repo's footprint.
jumppad-labs/jumppad
Create a new Specification for a feature. An agent skill from jumppad-labs/jumppad.
Categories
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.
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.
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.
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.
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.
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.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
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.
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.
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.
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.