Individual skill

serenity

Use when evaluating US stocks through Serenity / @aleabitoreddit's AI and semiconductor supply-chain lens: upstream chokepoints, photonics/CPO bottlenecks, hyperscaler capex, institutional rotation, dilution risk, and thesis validation.

skills/serenity/SKILL.md

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Source commit 2844d7809a73c01e769c8c1c7ae8189788db4d9e

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Matches the observed repository HEAD: Yes
Scanner rules are current: Yes
Repository scan complete: Yes
Skill scan complete: Yes
Observed behavior: Instructions only
Last checked: Nov 9, 2026

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Claude Code

Destination .claude/skills/serenity

(
  set -euo pipefail
  destination='./.claude/skills/serenity'
  if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi
  work=$(mktemp -d)
  trap 'rm -rf -- "$work"' EXIT
  git clone --filter=blob:none --no-checkout -- 'https://github.com/questflowai/investorskills.git' "$work/repo"
  git -C "$work/repo" checkout --detach 2844d7809a73c01e769c8c1c7ae8189788db4d9e
  git -C "$work/repo" archive --format=tar '2844d7809a73c01e769c8c1c7ae8189788db4d9e:skills/serenity' > "$work/skill.tar"
  mkdir -p -- './.claude/skills'
  mkdir -- "$destination"
  tar -xf "$work/skill.tar" -C "$destination"
)

Codex

Destination .agents/skills/serenity

(
  set -euo pipefail
  destination='./.agents/skills/serenity'
  if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi
  work=$(mktemp -d)
  trap 'rm -rf -- "$work"' EXIT
  git clone --filter=blob:none --no-checkout -- 'https://github.com/questflowai/investorskills.git' "$work/repo"
  git -C "$work/repo" checkout --detach 2844d7809a73c01e769c8c1c7ae8189788db4d9e
  git -C "$work/repo" archive --format=tar '2844d7809a73c01e769c8c1c7ae8189788db4d9e:skills/serenity' > "$work/skill.tar"
  mkdir -p -- './.agents/skills'
  mkdir -- "$destination"
  tar -xf "$work/skill.tar" -C "$destination"
)

Cursor

Destination .cursor/skills/serenity

(
  set -euo pipefail
  destination='./.cursor/skills/serenity'
  if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi
  work=$(mktemp -d)
  trap 'rm -rf -- "$work"' EXIT
  git clone --filter=blob:none --no-checkout -- 'https://github.com/questflowai/investorskills.git' "$work/repo"
  git -C "$work/repo" checkout --detach 2844d7809a73c01e769c8c1c7ae8189788db4d9e
  git -C "$work/repo" archive --format=tar '2844d7809a73c01e769c8c1c7ae8189788db4d9e:skills/serenity' > "$work/skill.tar"
  mkdir -p -- './.cursor/skills'
  mkdir -- "$destination"
  tar -xf "$work/skill.tar" -C "$destination"
)

Gemini CLI

Destination .gemini/skills/serenity

(
  set -euo pipefail
  destination='./.gemini/skills/serenity'
  if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi
  work=$(mktemp -d)
  trap 'rm -rf -- "$work"' EXIT
  git clone --filter=blob:none --no-checkout -- 'https://github.com/questflowai/investorskills.git' "$work/repo"
  git -C "$work/repo" checkout --detach 2844d7809a73c01e769c8c1c7ae8189788db4d9e
  git -C "$work/repo" archive --format=tar '2844d7809a73c01e769c8c1c7ae8189788db4d9e:skills/serenity' > "$work/skill.tar"
  mkdir -p -- './.gemini/skills'
  mkdir -- "$destination"
  tar -xf "$work/skill.tar" -C "$destination"
)

GitHub Copilot

Destination .github/skills/serenity

(
  set -euo pipefail
  destination='./.github/skills/serenity'
  if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi
  work=$(mktemp -d)
  trap 'rm -rf -- "$work"' EXIT
  git clone --filter=blob:none --no-checkout -- 'https://github.com/questflowai/investorskills.git' "$work/repo"
  git -C "$work/repo" checkout --detach 2844d7809a73c01e769c8c1c7ae8189788db4d9e
  git -C "$work/repo" archive --format=tar '2844d7809a73c01e769c8c1c7ae8189788db4d9e:skills/serenity' > "$work/skill.tar"
  mkdir -p -- './.github/skills'
  mkdir -- "$destination"
  tar -xf "$work/skill.tar" -C "$destination"
)

OpenCode

Destination .opencode/skills/serenity

(
  set -euo pipefail
  destination='./.opencode/skills/serenity'
  if [ -e "$destination" ] || [ -L "$destination" ]; then printf '%s\n' 'Destination already exists; nothing overwritten.' >&2; exit 1; fi
  work=$(mktemp -d)
  trap 'rm -rf -- "$work"' EXIT
  git clone --filter=blob:none --no-checkout -- 'https://github.com/questflowai/investorskills.git' "$work/repo"
  git -C "$work/repo" checkout --detach 2844d7809a73c01e769c8c1c7ae8189788db4d9e
  git -C "$work/repo" archive --format=tar '2844d7809a73c01e769c8c1c7ae8189788db4d9e:skills/serenity' > "$work/skill.tar"
  mkdir -p -- './.opencode/skills'
  mkdir -- "$destination"
  tar -xf "$work/skill.tar" -C "$destination"
)

Repository context

Repository stars (not skill ratings): 1,923
Repository last updated: Aug 23, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai Repository topic
investing Repository topic
investment Repository topic
skills Repository topic
engineering Derived category

Files and excerpt

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Browse files

SKILL.mdcore · 3,737 bytes
invest.mddoc · 12,020 bytes

Read excerpt


# Serenity Supply-Chain Chokepoints

Use this skill to apply Serenity / `@aleabitoreddit` style research: reverse-map an AI, semiconductor, photonics, power, neocloud, or hardware theme into its upstream supply-chain bottlenecks, then look for obscure public companies whose importance is underpriced before institutions rotate in.

## When To Use

Use this skill when the user asks for:

- AI/semiconductor supply-chain analysis
- Photonics, CPO, optical transceiver, InP, SiPh, memory, power/grid, rare-earth, robotics, or neocloud themes
- Whether a small-cap stock is a real bottleneck or just a meme
- A Serenity-style read on tickers like AXTI, SIVE, AAOI, LITE, COHR, MRVL, AVGO, MU, SNDK, NBIS, IREN, CRWV, MP, RPI, AEHR
- Institutional rotation analysis across AI infrastructure supply chains