Brainstorming
obra/superpowers
Makes the agent clarify intent and agree on a design with you before writing any code, scaling the process from a quick spike to a written spec.
Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels.
Install Traction Bullseye
$ npx skills add hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-bullseye --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/traction-bullseye .claude/skills/traction-bullseye && 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 "traction-bullseye" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseye into .claude/skills/traction-bullseye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-bullseye", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseyeType 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 hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-bullseye --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/traction-bullseye .agents/skills/traction-bullseye && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "traction-bullseye" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseye into .agents/skills/traction-bullseye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-bullseye", 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 hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-bullseye --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/traction-bullseye .cursor/skills/traction-bullseye && 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 "traction-bullseye" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseye into .cursor/skills/traction-bullseye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-bullseye", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/LVTD-LLC/skills/skills/traction-bullseye--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 hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-bullseye --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/traction-bullseye .gemini/skills/traction-bullseye && 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 "traction-bullseye" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseye into .gemini/skills/traction-bullseye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-bullseye", 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 hashgraph-online/awesome-codex-plugins traction-bullseyeInstalls 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 hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/traction-bullseye .github/skills/traction-bullseye && 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 "traction-bullseye" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseye into .github/skills/traction-bullseye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-bullseye", 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 hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins traction-bullseye --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/traction-bullseye .opencode/skills/traction-bullseye && 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 "traction-bullseye" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/traction-bullseye into .opencode/skills/traction-bullseye/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traction-bullseye", 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
traction-bullseye- GitHub stars
- 1.3k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 575 words
- Files
- 2 (incl. references)
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- MIT
At a glance
Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels.
- Works in 5 steps: Define The Current Traction Goal → Fill The Outer Ring → Promote The Middle Ring → …
- Choosing growth channels
- SKILL.md covers Source Traceability, Workflow, Output Format and Quality Bar
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Traction Bullseye is an agent skill from hashgraph-online/awesome-codex-plugins. Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels. Use when choosing growth channels, overcoming channel bias, prioritizing marketing experiments, or deciding which acquisition channel deserves focused effort.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/source-map.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in Agent Workflows, covering Brainstorming. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.
When your agent uses it
- Choosing growth channels
- Overcoming channel bias
- Prioritizing marketing experiments
- Deciding which acquisition channel deserves focused effort
Example prompts
- “/traction-bullseye”
Requirements
- Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3e1456a. 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 (its code samples are markdown).
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.
Compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
From compatibility in the SKILL.md frontmatter.
Context cost
Traction Bullseye loads about 1.2k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 575 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 hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 575 words, ~1,232 tokens.
Download SKILL.mdSave it as
.claude/skills/traction-bullseye/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- traction-bullseye
- description
- Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels. Use when choosing growth channels, overcoming channel bias, prioritizing marketing experiments, or deciding which acquisition channel deserves focused effort.
- compatibility
- Codex, Claude Code, and other Agent Skills-compatible clients.
- license
- MIT
- metadata.version
- 0.1.0
- metadata.displayName
- Traction Bullseye
- metadata.category
- Marketing
- metadata.tags
- traction,growth,marketing,startups,prioritization
Traction Bullseye
Use this skill to turn vague growth ideas into a ranked set of traction channel tests and one focused core channel. It is based on the Bullseye framework from Traction by Gabriel Weinberg and Justin Mares.
Source Traceability
Primary source: Traction, chapters 1, 3, and 5.
- Chapter 1 introduces the 19 traction channels and warns against dismissing unfamiliar channels too early. Authoring notes: converted lines 238-393.
- Chapter 3 defines Bullseye: outer ring, middle ring, inner ring, and focus on one core channel. Authoring notes: converted lines 555-674.
- Chapter 5 covers channel bias and the 19-channel review. Authoring notes: converted lines 787-902.
See source-map.md for the channel list and line references used while authoring this skill.
Workflow
1. Define The Current Traction Goal
Start with the measurable outcome the company needs next. A channel cannot be ranked well until the goal is explicit.
Capture:
- Stage: phase I, phase II, or phase III.
- Target metric: users, revenue, customers, usage, qualified leads, market share, or another growth metric.
- Deadline.
- Required volume.
- Constraint: budget, team capacity, geography, product readiness, sales cycle, or regulatory constraint.
If the user has no goal, ask for one or propose a provisional goal and label it as an assumption.
2. Fill The Outer Ring
Generate at least one plausible strategy for each traction channel before ranking anything. This counters default bias toward familiar channels.
Use this full channel list:
- Targeting blogs
- Publicity
- Unconventional PR
- Search engine marketing
- Social and display ads
- Offline ads
- Search engine optimization
- Content marketing
- Email marketing
- Viral marketing
- Engineering as marketing
- Business development
- Sales
- Affiliate programs
- Existing platforms
- Trade shows
- Offline events
- Speaking engagements
- Community building
For each channel, write:
- One specific strategy.
- Why it might work for this product.
- What evidence would make it more promising.
- What assumption would kill it.
Do not discard a channel because it feels unfashionable, manual, or outside the team's comfort zone. Mark concerns, then continue.
Show full SKILL.md (237 more words)Show less
3. Promote The Middle Ring
Choose roughly three promising channels for cheap tests. Prefer channels that:
- Could plausibly move the traction goal.
- Have reachable customers now.
- Can be tested cheaply within the current stage.
- Produce interpretable data quickly.
- Are underused by competitors or unusually well-matched to the product.
When the ranking is uncertain, use the stronger testability criterion: pick the channel where a small test would teach the most.
4. Define Tests
For each middle-ring channel, design one cheap test that answers:
- How much could it cost to acquire a customer?
- How many relevant customers may be reachable?
- Are these the right customers right now?
Keep phase I tests small. The point is signal, not scale.
5. Pick Or Defer The Inner Ring
Recommend an inner-ring core channel only if one test result is meaningfully stronger than the others. If no channel has enough evidence, recommend another Bullseye pass using what was learned.
Once a core channel is chosen, focus. Other channels may support it, but should not become parallel growth strategies unless the core channel stops moving the needle.
Output Format
Use this structure:
# Bullseye Recommendation
## Traction Goal
- Goal:
- Deadline:
- Stage:
- Constraints:
## Outer Ring
| Channel | Strategy | Why It Could Work | Evidence Needed | Key Assumption |
|---------|----------|-------------------|-----------------|----------------|
## Middle Ring
| Rank | Channel | Test | Budget/Time | Success Signal |
|------|---------|------|-------------|----------------|
## Inner Ring Decision
[Choose core channel, defer decision, or repeat Bullseye.]
## Next Actions
1. [Action]
2. [Action]
3. [Action]Quality Bar
- Do not recommend a channel just because it is popular.
- Do not skip channels without naming the bias or constraint.
- Do not optimize tactics before choosing a promising strategy.
- Use numbers whenever possible, even if they are explicit estimates.
- Preserve losing channel ideas for later Bullseye rounds.
© hashgraph-online, 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 (references) in plugins/LVTD-LLC/skills/skills/traction-bullseye of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- references/source-map.md
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
Traction Bullseye 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 |
|---|---|---|---|---|---|---|
| Traction Bullseye this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Brainstormingobra/superpowers | 297k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Brainstormingxpinjection/test-driven-spring-boot | 112 | 53 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Yao Meta Skillyaojingang/yao-meta-skill | 2.7k | — | ~768 | Automated safety check: Pass | MIT | |
| Typesafe AIOpenAgentsInc/openagents | 455 | 9 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Trellis StartROYIANS/foliq-print-template-designer | 136 | 6 repos | ~646 | Automated safety check: Pass | MIT |
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Categories
Questions about Traction Bullseye
What does Traction Bullseye do?
Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels. Traction Bullseye is an agent skill from hashgraph-online/awesome-codex-plugins. Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels.
When should I use Traction Bullseye?
Traction Bullseye fits situations like: choosing growth channels; overcoming channel bias; prioritizing marketing experiments; deciding which acquisition channel deserves focused effort.
How do I install Traction Bullseye in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/traction-bullseye in hashgraph-online/awesome-codex-plugins) into .claude/skills/traction-bullseye in your project. Claude Code loads it when a task matches its description.
How do I install Traction Bullseye in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/traction-bullseye in hashgraph-online/awesome-codex-plugins) into .agents/skills/traction-bullseye in your project. Codex loads it when a task matches its description.
Can I use Traction Bullseye 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 hashgraph-online/awesome-codex-plugins --skill traction-bullseye -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/traction-bullseye, .gemini/skills/traction-bullseye, .github/skills/traction-bullseye and .opencode/skills/traction-bullseye in your project.
What does Traction Bullseye need to run?
SKILL.md names no scripts, command-line tools or credentials: Traction Bullseye is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
Does Traction Bullseye 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 Traction Bullseye 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 Traction Bullseye use?
Traction Bullseye is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Traction Bullseye use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 409 tokens, read only when the agent opens those files.
What are the alternatives to Traction Bullseye?
Skills that share tags, products or a category with Traction Bullseye: Brainstorming (obra/superpowers, 297k stars), Brainstorming (xpinjection/test-driven-spring-boot, 112 stars), Yao Meta Skill (yaojingang/yao-meta-skill, 2.7k stars) and Typesafe AI (OpenAgentsInc/openagents, 455 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Traction Bullseye?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.