Agent skill

Spec Executor

by tt-a1i in tt-a1i/matt-skills-with-to-goal

Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt.

MITAuto-check passed

Install Spec Executor

skills CLI
$ npx skills add tt-a1i/matt-skills-with-to-goal --skill spec-executor -a claude-code

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

GitHub CLI
$ gh skill install tt-a1i/matt-skills-with-to-goal spec-executor --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/tt-a1i/matt-skills-with-to-goal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/engineering/spec-executor .claude/skills/spec-executor && 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
spec-executor
GitHub stars
183
Token cost
~1.4k tokens
SKILL.md length
617 words
Files
2
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt.

  • Works in 4 steps: Resolve one approved source from… → Read the complete source, including… → Confirm that the work is bounded enough… → …
  • SKILL.md covers Resolve the execution contract, Lock scope before editing, Implement the spec and Handle blockers and context…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spec Executor is an agent skill from tt-a1i/matt-skills-with-to-goal. Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt. Use with inherited history or an explicitly identified source; no particular planning, testing, or review skill is required.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Planning → verifiable goals → fresh-session implementation for AI coding agents. Based on mattpocock/skills v1.1. The licence is MIT.

Example prompts

  • “/spec-executor”

Workflow steps

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

  1. Resolve one approved source from inherited conversation history or the user's explicit reference. Later user corrections override older…
  2. Read the complete source, including directly linked decisions. Do not reconstruct a second long goal.
  3. Confirm that the work is bounded enough for this implementation context and contains no unresolved product decisions. If not, stop and…
  4. Extract and preserve

What it can do on your machine

Read from SKILL.md and the folder at commit 7b44372. 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

Spec Executor loads about 1.4k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 617 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 tt-a1i/matt-skills-with-to-goal at commit 7b44372, republished under its MIT licence (© tt-a1i). 617 words, ~1,389 tokens.

Download SKILL.mdSave it as .claude/skills/spec-executor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
spec-executor
description
Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt. Use with inherited history or an explicitly identified source; no particular planning, testing, or review skill is required.

Spec Executor

Implement one approved unit of work in the isolated execution conversation. Treat its approved source as authoritative, keep implementation detail here, and return a compact receipt that can be pasted back.

Resolve the execution contract

  1. Resolve one approved source from inherited conversation history or the user's explicit reference. Later user corrections override older conflicting requirements.
  2. Read the complete source, including directly linked decisions. Do not reconstruct a second long goal.
  3. Confirm that the work is bounded enough for this implementation context and contains no unresolved product decisions. If not, stop and recommend a split or clarification without requiring a particular upstream workflow.
  4. Extract and preserve:
    • repository and starting baseline;
    • user-visible outcome and acceptance criteria;
    • agreed validation seam;
    • explicit non-goals and workspace boundaries;
    • authorization for commit, push, review request, deployment, tracker edits, data changes, and other external effects.

Do not reopen settled product questions. Pause only when the approved source is internally contradictory, conflicts materially with the repository, lacks a required external contract, or requires new authority.

Lock scope before editing

Inspect repository instructions, branch, HEAD, worktree status, recent relevant history, and the current implementation at the agreed seam. Record the actual pre-implementation HEAD as the review fixed point.

Send a short execution lock before substantive edits:

text
Executing: <one-sentence outcome>
Source: <approved conversation, issue, file, or spec>
In scope: <compact list>
Out of scope: <compact list>
Validation: <primary seam and required gates>
External authority: <what is and is not authorized>

Create or switch to an appropriate local branch when needed. Never discard, overwrite, or absorb unrelated dirty or untracked work. If the requested baseline has drifted, determine whether the spec is still applicable and record the current fixed point; stop if drift changes product behavior or acceptance criteria.

Implement the spec

  1. Trace each acceptance criterion to existing behavior, the smallest code seam that can satisfy it, and observable evidence.
  2. Choose an implementation and testing approach appropriate to the repository, risk, and agreed seam. Prefer behavior evidence over implementation-detail assertions.
  3. Implement the narrowest complete vertical path. Do not pull in downstream tickets, opportunistic refactors, or new product behavior.
  4. Run the smallest relevant check during development, then the repository-required broad gates in proportion to risk.
  5. Compare the finished diff with every acceptance criterion and review it against the recorded baseline. Use an available specialist review skill or tool when useful, but do not require one. Fix in-scope critical findings and resolve or explicitly report the rest.
  6. Inspect the final worktree and separate this execution's changes from anything pre-existing.

Invoking this skill authorizes in-scope local implementation and validation. It does not by itself authorize committing, pushing, opening or merging a review, changing tracker state, deploying, writing production data, calling costly real services, or messaging people. Perform those actions only when the approved source or a later user message explicitly authorizes them. Never broaden one authorization into another.

Show full SKILL.md (165 more words)Show less

Handle blockers and context overflow

When blocked, exhaust safe read-only investigation and local validation first. Then stop with evidence and the smallest decision or authority needed from the planning thread.

If the work proves too large for one reliable implementation context, do not continue by silently dropping history. Return a partial receipt, preserve the worktree, and recommend splitting or compiling the remaining slice into a portable goal.

Return the receipt

Do not write a handoff file unless requested. End with one copy-pasteable block:

text
SPEC EXECUTION RECEIPT

- Conclusion: completed / partially completed / blocked
- Spec source:
- Review fixed point:
- Acceptance criteria: <each criterion with pass/fail and evidence>
- Main changes:
- Changed files:
- Branch / commit / review:
- Validation results:
- Review findings:
- Not validated or not executed:
- Risks and remaining work:
- Planning-thread decision needed:
- Final worktree state:
- External effects: <push, deploy, tracker, data, real services, messages>
- Goal / spec quality: <optional: accurate / criteria-too-vague / criteria-wrong / missing-constraint / over-scoped — plus one sentence>

Keep the receipt concise but evidence-bearing. Include exact commands, counts, identifiers, and links when they materially prove completion. Never claim a real environment, deployment, or external action that was not verified. Redact credentials, tokens, cookies, personal data, and sensitive environment identifiers before the receipt leaves the execution thread.

Goal / spec quality is optional and is not a completion condition. The execution agent may leave it blank. The planning thread or the user fills it after comparing the receipt with the actual diff.

© tt-a1i, 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 1 other file in skills/engineering/spec-executor of tt-a1i/matt-skills-with-to-goal.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7b44372

Compare with similar skills

Spec Executor 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.

Spec Executor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Spec Executor this skilltt-a1i/matt-skills-with-to-goal183—~1.4kAutomated safety check: PassMIT
Executealirezarezvani/claude-skills28k—~831Automated safety check: PassMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Landing Page Conversion Auditgithub/awesome-copilot40k1 repos~1.8kAutomated safety check: PassMIT
Modeling Conversion MetricsPostHog/posthog40k—~1.4kAutomated safety check: PassCustom licence
Safe SQL Executionsupabase/supabase111k—~4.2kAutomated safety check: PassApache-2.0

Similar skills

  • Execute

    alirezarezvani/claude-skills

    /cs:execute <decision — Generate a 90-day execution plan with weekly milestones, DRIs, and check-in cadence from an approved decision.

    28k GitHub stars~831 tokensUpdated 1 mo ago
    Product & Project ManagementAuto-check passed
  • Official

    Debug failed or wrong-output workflow executions using executions tools.

    207k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • Landing Page Conversion Audit

    github/awesome-copilot

    Official

    Audit a landing page, sales page or checkout page for conversion leaks and return a fix list ordered by expected revenue impact.

    40k GitHub starsUsed in 1 repo~1.8k tokens
    Frontend & DesignAuto-check passed
  • Official

    Build reusable conversion models — funnel/step conversion rates, drop-off, and time-to-convert — on either PostHog data-warehouse views (HogQL) or an external dbt project.

    40k GitHub stars~1.4k tokensUpdated today
    Data & AnalyticsAuto-check passed
  • Safe SQL Execution

    supabase/supabase

    Official

    A skill your agent uses whenever code will build, return, fetch, or execute SQL that runs against a user's real Postgres database — even when the request reads like an ordinary feature or bug fix…

    111k GitHub stars~4.2k tokensUpdated today
    DatabasesAuto-check passed
  • Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final…

    275k GitHub starsUsed in 1 repo~712 tokens
    DevelopmentAuto-check passed

More from tt-a1i/matt-skills-with-to-goal

  • Goal Crafter

    tt-a1i/matt-skills-with-to-goal

    Craft verifiable, tight goal prompts for AI coding agents (Claude Code /goal, Codex Automations, Pi), either from a standalone task interview or from an already-approved to-goal handoff.

    183 GitHub stars~1.8k tokensUpdated 24 days ago
    Auto-check passed
  • Roundtable

    tt-a1i/matt-skills-with-to-goal

    Convene a roundtable of sub-agents that debate a decision or proposal from opposing perspectives — parallel independent statements, anonymous cross-review, then a chaired verdict reporting consensus…

    183 GitHub stars~1.2k tokensUpdated 24 days ago
    Auto-check passed
  • To Goal

    tt-a1i/matt-skills-with-to-goal

    Turn approved planning evidence or partially completed work into a portable, verifiable execution goal.

    183 GitHub stars~2.7k tokensUpdated 24 days ago
    Auto-check passed
  • Execute Spec In Fork

    tt-a1i/matt-skills-with-to-goal

    Orchestrate approved, bounded work through a same-directory Codex App fork: create and name the execution task, ask it to run spec-executor, route decisions through Codex Task Messenger, validate…

    183 GitHub stars~2k tokensUpdated 24 days ago
    Auto-check passed
  • Handoff

    tt-a1i/matt-skills-with-to-goal

    Compact the current conversation into a portable handoff document, with an optional live clarification path for compatible Codex tasks.

    183 GitHub stars~492 tokensUpdated 24 days ago
    Auto-check passed

Questions about Spec Executor

What does Spec Executor do?

Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt. Spec Executor is an agent skill from tt-a1i/matt-skills-with-to-goal. Execute approved, bounded work in an isolated implementation conversation and return a structured evidence receipt.

How do I install Spec Executor in Claude Code?

Run `npx skills add tt-a1i/matt-skills-with-to-goal --skill spec-executor -a claude-code`. Or copy the skill folder (skills/engineering/spec-executor in tt-a1i/matt-skills-with-to-goal) into .claude/skills/spec-executor in your project. Claude Code loads it when a task matches its description.

How do I install Spec Executor in Codex?

Run `npx skills add tt-a1i/matt-skills-with-to-goal --skill spec-executor -a codex`. Or copy the skill folder (skills/engineering/spec-executor in tt-a1i/matt-skills-with-to-goal) into .agents/skills/spec-executor in your project. Codex loads it when a task matches its description.

Can I use Spec Executor 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 tt-a1i/matt-skills-with-to-goal --skill spec-executor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spec-executor, .gemini/skills/spec-executor, .github/skills/spec-executor and .opencode/skills/spec-executor in your project.

What does Spec Executor need to run?

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

Does Spec Executor 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 Spec Executor 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 Spec Executor use?

Spec Executor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spec Executor use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Spec Executor?

Skills that share tags, products or a category with Spec Executor: Execute (alirezarezvani/claude-skills, 28k stars), Debugging Executions (n8n-io/n8n, 207k stars), Landing Page Conversion Audit (github/awesome-copilot, 40k stars) and Modeling Conversion Metrics (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spec Executor?

tt-a1i (a GitHub user) maintains it in tt-a1i/matt-skills-with-to-goal, which has 183 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 14, 2026.

Source: tt-a1i/matt-skills-with-to-goal on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.