Goal
cwinvestments/memstack
A skill your agent uses when the user says 'goal', 'set a goal', 'define the goal', 'plan this properly', or starts a task that needs a clear finish line and verification.
Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must…
MITAuto-check passed
Install Goal Prompt
$ npx skills add techwolf-ai/ai-first-toolkit --skill goal-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit goal-prompt --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/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/session-tools/skills/goal-prompt .claude/skills/goal-prompt && 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 "goal-prompt" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-prompt into .claude/skills/goal-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "goal-prompt", 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/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-promptType 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 techwolf-ai/ai-first-toolkit --skill goal-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit goal-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/session-tools/skills/goal-prompt .agents/skills/goal-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "goal-prompt" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-prompt into .agents/skills/goal-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "goal-prompt", 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 techwolf-ai/ai-first-toolkit --skill goal-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit goal-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/session-tools/skills/goal-prompt .cursor/skills/goal-prompt && 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 "goal-prompt" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-prompt into .cursor/skills/goal-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "goal-prompt", 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/techwolf-ai/ai-first-toolkit.git --path plugins/session-tools/skills/goal-prompt--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 techwolf-ai/ai-first-toolkit --skill goal-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit goal-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/session-tools/skills/goal-prompt .gemini/skills/goal-prompt && 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 "goal-prompt" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-prompt into .gemini/skills/goal-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "goal-prompt", 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 techwolf-ai/ai-first-toolkit goal-promptInstalls 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 techwolf-ai/ai-first-toolkit --skill goal-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/session-tools/skills/goal-prompt .github/skills/goal-prompt && 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 "goal-prompt" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-prompt into .github/skills/goal-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "goal-prompt", 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 techwolf-ai/ai-first-toolkit --skill goal-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install techwolf-ai/ai-first-toolkit goal-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/session-tools/skills/goal-prompt .opencode/skills/goal-prompt && 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 "goal-prompt" agent skill from https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/session-tools/skills/goal-prompt into .opencode/skills/goal-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "goal-prompt", 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.
Facts
- Skill name
goal-prompt- GitHub stars
- 132
- Token cost
- ~695 tokens
- SKILL.md length
- 306 words
- Files
- 1
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- MIT
At a glance
Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must…
- Works in 3 steps: Measurable end state — one concrete… → Stated proof — exactly how Claude… → Constraints that must not drift — what…
- The user says give me a goal
- SKILL.md covers Why the shape matters, A good goal has three parts, How to write it and Output, plus 1 more section
- Calls jq
What it does
Goal Prompt is an agent skill from techwolf-ai/ai-first-toolkit. Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must not drift. Use when the user says "give me a goal", "goal prompt", "make this a /goal", "turn this into a goal", or wants an autonomous long-running objective for Claude Code.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Open-source Claude Code skills and Codex skills for AI-first work. Audit, re-engineer, and bootstrap projects with AI-first design principles. The licence is MIT.
When your agent uses it
- The user says give me a goal
- Make this a /goal
- Turn this into a goal
- Wants an autonomous long-running objective for Claude Code
Example prompts
- “give me a goal”
- “goal prompt”
- “make this a /goal”
- “/goal-prompt”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Measurable end state — one concrete finish line: a test/exit code, a file that must exist, a count, an empty queue, named sections present.
- Stated proof — exactly how Claude demonstrates it: the command to run and its expected result, or the grep/check whose output shows done…
- Constraints that must not drift — what stays unchanged on the way there: files not to touch, framing to keep, no network/prod, don't…
What it can do on your machine
Read from SKILL.md and the folder at commit 2ee7841. 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
Shell commands in SKILL.md call:
jq
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
Goal Prompt loads about 695 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 306 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.
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 techwolf-ai/ai-first-toolkit at commit 2ee7841, republished under its MIT licence (© techwolf-ai). 306 words, ~695 tokens.
Download SKILL.mdSave it as
.claude/skills/goal-prompt/SKILL.md (or your agent's skills folder).- name
- goal-prompt
- description
- Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must not drift. Use when the user says "give me a goal", "goal prompt", "make this a /goal", "turn this into a goal", or wants an autonomous long-running objective for Claude Code.
goal-prompt
Produce a ready-to-paste /goal ... command from whatever the user is trying to accomplish.
Why the shape matters
/goal runs Claude autonomously until a separate fast-model evaluator decides, after a turn, that the condition is met. The evaluator does NOT run commands or read files itself — it only reads Claude's output. So the completion condition must be demonstrable by Claude's own output, never by hidden side effects.
A good goal has three parts
- Measurable end state — one concrete finish line: a test/exit code, a file that must exist, a count, an empty queue, named sections present.
- Stated proof — exactly how Claude demonstrates it: the command to run and its expected result, or the grep/check whose output shows done. Phrase it as "Prove it by showing X."
- Constraints that must not drift — what stays unchanged on the way there: files not to touch, framing to keep, no network/prod, don't modify tests.
How to write it
- One sentence of objective, then
Done when: <end state + proof>, thenConstraints that must not change: <list>. - If the full spec is long, point to a plan/doc file (e.g. a path under
~/.claude/plans/ordocs/) and keep the goal itself scannable. - Make the proof something the transcript can show: prefer
command exits 0+ a summary line, orgrepfor markers, over vague "it works". - Translate conditions the evaluator can't see ("the UI looks good") into an observable check.
- Keep constraints tight enough to stop scope creep, not so rigid they block the obvious path.
Output
Give the user a single fenced block starting with /goal, then 2-3 lines explaining the end state, the proof, and why it's demonstrable. Nothing else.
Example
/goal Add a --json flag to the export CLI per docs/export-json.md. Done when: `pytest tests/test_export.py -q` exits 0 and `python -m app.export --json` prints valid JSON whose top-level keys include "rows" and "meta". Prove it by showing the pytest summary and the piped `... --json | jq keys` output. Constraints that must not change: only edit app/export.py and add tests/test_export.py; do not alter the existing CSV output path; no network.Its finish line is a passing test plus a schema check, both visible in Claude's transcript; the constraints pin the blast radius so the autonomous run can't wander.
© techwolf-ai, 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/session-tools/skills/goal-prompt of techwolf-ai/ai-first-toolkit.
Open the folder on GitHubat commit 2ee7841
Compare with similar skills
Goal Prompt 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 |
|---|---|---|---|---|---|---|
| Goal Prompt this skilltechwolf-ai/ai-first-toolkit | 132 | — | ~695 | Automated safety check: Pass | MIT | |
| Goalcwinvestments/memstack | 423 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Goaliurysza/module-graph | 420 | — | ~721 | Automated safety check: Pass | MIT | |
| Goalcoco-research/coco | 513 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| GoalKonghaYao/peri | 226 | — | ~391 | Automated safety check: Pass | Apache-2.0 | |
| Goaljthack/claude-goal | 113 | — | ~503 | Automated safety check: Pass | MIT |
Similar skills
Goal
iurysza/module-graph
Executes an approved goal package from ai-artifacts/goals. An agent skill from iurysza/module-graph.
Goal
coco-research/coco
Persistent project goal that survives across sessions and tools, with continuous-execution loop semantics.
Goal
KonghaYao/peri
Long-running goal tracking. An agent skill from KonghaYao/peri.
Goal
jthack/claude-goal
Codex-style /goal for Claude Code. An agent skill from jthack/claude-goal.
Goals
codewhale-hq/Codewhale
Set, review, and update the user's goals. An agent skill from codewhale-hq/Codewhale.
More from techwolf-ai/ai-first-toolkit
All 29 skills in this repoTask Profile
techwolf-ai/ai-first-toolkit
Mine the user's Claude Code + Cowork session history into a structured task profile, what they do with AI, how often, how successfully where friction lives, then propose atomic skills that would…
Token Doctor
techwolf-ai/ai-first-toolkit
Personal diagnosis of where your Claude Code + Cowork spend goes.
Session Search
techwolf-ai/ai-first-toolkit
Find context from past Claude Code (CLI) and Claude Cowork (desktop) sessions on this Mac.
Write Blog Post
techwolf-ai/ai-first-toolkit
Write or develop a blog post. An agent skill from techwolf-ai/ai-first-toolkit.
Write Opinion
techwolf-ai/ai-first-toolkit
Write or develop an opinion piece (opiniestuk/op-ed). An agent skill from techwolf-ai/ai-first-toolkit.
AI Firstify
techwolf-ai/ai-first-toolkit
Analyze, re-engineer, or bootstrap projects to align with AI-first design principles.
Questions about Goal Prompt
What does Goal Prompt do?
Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must…. Goal Prompt is an agent skill from techwolf-ai/ai-first-toolkit. Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must not drift.
When should I use Goal Prompt?
Goal Prompt fits situations like: the user says give me a goal; make this a /goal; turn this into a goal; wants an autonomous long-running objective for Claude Code.
How do I install Goal Prompt in Claude Code?
Run `npx skills add techwolf-ai/ai-first-toolkit --skill goal-prompt -a claude-code`. Or copy the skill folder (plugins/session-tools/skills/goal-prompt in techwolf-ai/ai-first-toolkit) into .claude/skills/goal-prompt in your project. Claude Code loads it when a task matches its description.
How do I install Goal Prompt in Codex?
Run `npx skills add techwolf-ai/ai-first-toolkit --skill goal-prompt -a codex`. Or copy the skill folder (plugins/session-tools/skills/goal-prompt in techwolf-ai/ai-first-toolkit) into .agents/skills/goal-prompt in your project. Codex loads it when a task matches its description.
Can I use Goal Prompt 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 techwolf-ai/ai-first-toolkit --skill goal-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/goal-prompt, .gemini/skills/goal-prompt, .github/skills/goal-prompt and .opencode/skills/goal-prompt in your project.
What does Goal Prompt need to run?
Going by SKILL.md and its folder, Goal Prompt needs the command-line tools its instructions call (jq). Our summary lists: Python 3.
Does Goal Prompt 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 Goal Prompt 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 Goal Prompt use?
Goal Prompt 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 Goal Prompt use?
About 695 tokens (SKILL.md is roughly 2.8k 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 Goal Prompt?
Skills that share tags, products or a category with Goal Prompt: Goal (cwinvestments/memstack, 423 stars), Goal (iurysza/module-graph, 420 stars), Goal (coco-research/coco, 513 stars) and Goal (KonghaYao/peri, 226 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Goal Prompt?
techwolf-ai (a GitHub organization) maintains it in techwolf-ai/ai-first-toolkit, which has 132 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 29, 2026.
Source: techwolf-ai/ai-first-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.