A skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…
$ npx skills add questflowai/investorskills --skill a16z-techno-optimist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills a16z-techno-optimist --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/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/a16z-techno-optimist .claude/skills/a16z-techno-optimist && 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 "a16z-techno-optimist" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/a16z-techno-optimist into .claude/skills/a16z-techno-optimist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a16z-techno-optimist", 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/questflowai/investorskills/tree/main/skills/a16z-techno-optimistType 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 questflowai/investorskills --skill a16z-techno-optimist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills a16z-techno-optimist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/a16z-techno-optimist .agents/skills/a16z-techno-optimist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "a16z-techno-optimist" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/a16z-techno-optimist into .agents/skills/a16z-techno-optimist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a16z-techno-optimist", 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 questflowai/investorskills --skill a16z-techno-optimist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills a16z-techno-optimist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/a16z-techno-optimist .cursor/skills/a16z-techno-optimist && 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 "a16z-techno-optimist" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/a16z-techno-optimist into .cursor/skills/a16z-techno-optimist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a16z-techno-optimist", 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/questflowai/investorskills.git --path skills/a16z-techno-optimist--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 questflowai/investorskills --skill a16z-techno-optimist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills a16z-techno-optimist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/a16z-techno-optimist .gemini/skills/a16z-techno-optimist && 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 "a16z-techno-optimist" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/a16z-techno-optimist into .gemini/skills/a16z-techno-optimist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a16z-techno-optimist", 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 questflowai/investorskills a16z-techno-optimistInstalls 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 questflowai/investorskills --skill a16z-techno-optimist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/a16z-techno-optimist .github/skills/a16z-techno-optimist && 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 "a16z-techno-optimist" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/a16z-techno-optimist into .github/skills/a16z-techno-optimist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a16z-techno-optimist", 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 questflowai/investorskills --skill a16z-techno-optimist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install questflowai/investorskills a16z-techno-optimist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/a16z-techno-optimist .opencode/skills/a16z-techno-optimist && 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 "a16z-techno-optimist" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/a16z-techno-optimist into .opencode/skills/a16z-techno-optimist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a16z-techno-optimist", 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.
a16z-techno-optimistA skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…
A16z Techno Optimist is an agent skill from questflowai/investorskills. Use when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold long-duration tech bets.
Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).
The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2844d78. 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 (its code samples are markdown).
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.
A16z Techno Optimist loads about 512 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 203 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 questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 203 words, ~512 tokens.
.claude/skills/a16z-techno-optimist/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill to apply Andreessen Horowitz-style judgment.
Use this skill when the user asks for:
Trigger phrases include a16z, Andreessen, techno-optimist, software eats the world, platform power, AI venture, crypto venture.
# a16z Techno-Optimist View: [Subject]
## Verdict
High-Conviction Tech Bet / Theme Watch / Too Early / Narrative Only / Pass
## Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing DataIn Questflow, this skill is best used as a specialized judgment module for research workflows, Fund theses, diligence, monitoring, and decision support.
© questflowai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/a16z-techno-optimist of questflowai/investorskills.
Open the folder on GitHubat commit 2844d78
A16z Techno Optimist 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 |
|---|---|---|---|---|---|---|
| A16z Techno Optimist this skillquestflowai/investorskills | 1.9k | — | ~512 | Automated safety check: Pass | MIT | |
| Evaluating Threat Intelligence Platformsmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 2 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 32k | 13 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Llmops Platform Engineeringsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Evaluates and selects Threat Intelligence Platform (TIP) products based on organizational requirements including feed integration capability, STIX/TAXII support, workflow automation, analyst…
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
sickn33/agentic-awesome-skills
Build production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
sickn33/agentic-awesome-skills
Build internal developer platforms (IDPs) with self-service infrastructure, golden paths, and developer portals using Backstage, Crossplane, and score.
questflowai/investorskills
A skill your agent uses when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.
questflowai/investorskills
A skill your agent uses when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style…
questflowai/investorskills
A skill your agent uses when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.
questflowai/investorskills
A skill your agent uses when evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.
questflowai/investorskills
A skill your agent uses when evaluating Michael Burry-style contrarian, asymmetric, unpopular trades: deep mispricing, short theses, complex assets, forced consensus errors, and catalyst-driven…
questflowai/investorskills
A skill your agent uses when evaluating Cathie Wood-style disruptive innovation themes: S-curves, converging technologies, long-duration growth, platform adoption, and multiyear innovation portfolios.
A skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…. A16z Techno Optimist is an agent skill from questflowai/investorskills. Use when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold long-duration tech bets.
A16z Techno Optimist fits situations like: evaluating startups; tech platforms through an a16z-style lens: technology adoption; market creation; AI/crypto/software narratives.
Run `npx skills add questflowai/investorskills --skill a16z-techno-optimist -a claude-code`. Or copy the skill folder (skills/a16z-techno-optimist in questflowai/investorskills) into .claude/skills/a16z-techno-optimist in your project. Claude Code loads it when a task matches its description.
Run `npx skills add questflowai/investorskills --skill a16z-techno-optimist -a codex`. Or copy the skill folder (skills/a16z-techno-optimist in questflowai/investorskills) into .agents/skills/a16z-techno-optimist 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 questflowai/investorskills --skill a16z-techno-optimist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/a16z-techno-optimist, .gemini/skills/a16z-techno-optimist, .github/skills/a16z-techno-optimist and .opencode/skills/a16z-techno-optimist in your project.
SKILL.md names no scripts, command-line tools or credentials: A16z Techno Optimist is instructions for the agent only.
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.
A16z Techno Optimist is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 512 tokens (SKILL.md is roughly 2k 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 A16z Techno Optimist: Evaluating Threat Intelligence Platforms (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Llmops Platform Engineering (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.
Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
