Results for “porters-five-forces”

18 skills
nvidia
cuopt-multi-objective-exploration
Trace and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
2.2k · bundle
aniruddhaadak80
mcporter
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.
0
promisingcoder
mcporter
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.
0
bankrbot
versa-deploy
Deploy, manage, or withdraw from an AI agent vault on the Versa onchain adversarial AI arena on Base.
1.2k · bundle
jrennie99-glitch
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
0
k-dense-ai
pufferlib
Train reinforcement learning agents at millions of steps per second using optimized PPO, vectorized environments, and multi-agent support.
30.2k · bundle
solizardking
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
0
majiayu000
glm5
Spawns GLM-5 powered teammates with thinking mode for coding, review, testing, planning, and research tasks.
567 · bundle
aaaaqwq
guardian-angel
Guardian Angel gives AI agents a moral conscience rooted in Thomistic virtue ethics. Rather than relying solely on rule lists, it cultivates stable virtuous dispositions— prudence, justice, fortitude, temperance—that guide every interaction. The foundation is caritas: willing the good of the person you serve. From this flow the cardinal virtues as practical habits of right action and sound judgment. v3.0 introduced virtue-based disposition as the primary evaluation layer, providing deeper coherence than checklists alone. The agent's character becomes the safeguard. v3.1 adds: Plugin enforcement layer with before_tool_call hooks, approval workflows for ambiguous cases, and protections for sensitive infrastructure actions.
1 · bundle
diegosouzapw
glm5
Spawns GLM-5 powered teammates with native thinking mode for coding, review, testing, planning, and research tasks.
54 · bundle
danstrem2
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
2 · bundle
ekatasingh1107
decision-maker-finder
Find 5 decision makers at a company via Apollo.io UI using Chrome DevTools MCP. No enrichment, no credits used.
2 · bundle
alterlab-ieu
alterlab-pufferlib
Scales reinforcement learning with PufferLib — high-throughput parallel training (PuffeRL), vectorized environments, and native multi-agent systems achieving 2-10x speedups over standard implementations. Use when scaling RL to millions of steps per second, running vectorized or multi-agent setups, building custom PufferEnv tasks, or integrating game environments (Atari, Procgen, NetHack, PettingZoo). For standard single-agent algorithm implementations (PPO/SAC/DQN) or quick prototyping prefer alterlab-stable-baselines3. Part of the AlterLab Academic Skills suite.
60 · bundle
enuno
owl-strategy
OWL v5.2 — Pure contrarian. One scanner, one thesis: the crowd is wrong. Monitors crowding across top 30 assets (funding extremity, OI concentration, SM tilt). When crowding persists 4+ hours AND exhaustion signals fire (volume declining, price stalling, RSI divergence), enters AGAINST the crowd to ride the liquidation unwind. 1-2 trades per day max. Re-crowding exit: if the crowd comes back, thesis is dead, exit immediately. DSL High Water Mode (mandatory). The patient predator. v5.2: funding floor lowered from 20% to 12% so the five-factor scoring model actually runs. Added observability logging (top 3 crowding scores per scan cycle).
1 · bundle
chen-yu-hao
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
5 · bundle
x402agent
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
9
intelli-verse-x
ivx-mcp-game-ops
The "Game ops" MCP tiles — Nakama game backend (players, wallets, flags, configs) and the QuestX rewards economy (~120 tools for brands, quests, offers, redemptions, gift cards, fraud). Use for player lookups, bans, wallet inspection, and rewards-economy operations.
0
infometa
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
228