ultraprompt

In the author's own words, from each skill's SKILL.md.

• context-memory-hygiene

  Invoke when deciding what to load into context, what to persist across turns or sessions, and what to drop — reads only what the task needs, writes durable handoffs, avoids context pollution, and chooses when to re-derive versus recall.

  skills/context-memory-hygiene/SKILL.md on GitHub (opens in a new tab)

• delegation-parallelism

  Invoke when deciding whether to split work across parallel agents/sessions or do it inline — tests scope independence, weighs coordination cost against the parallelism win, and sets an observation cadence for delegated work.

  skills/delegation-parallelism/SKILL.md on GitHub (opens in a new tab)

• exploration-strategy

  Build an accurate mental model of an unfamiliar codebase or problem before making any edit — structural scan, entry-point location, one end-to-end trace, and an explicit known-vs-assumed ledger.

  skills/exploration-strategy/SKILL.md on GitHub (opens in a new tab)

• failure-mode-enumeration

  Systematically enumerate how code can break — boundaries, concurrency, partial failure, malicious input, time, resource exhaustion — before writing defenses, then convert the list into tests and guards while pruning paranoia that does not pay rent.

  skills/failure-mode-enumeration/SKILL.md on GitHub (opens in a new tab)

• honest-reporting

  Invoke when writing any status, completion, or result report — calibrates claims to the evidence actually gathered, marks the unmeasured as open, reports failures plainly, and distinguishes "verified at layer X" from "should work".

  skills/honest-reporting/SKILL.md on GitHub (opens in a new tab)

• hypothesis-management

  Debug by maintaining 2-4 competing hypotheses with explicit evidence and kill criteria, choosing each probe to maximally discriminate between them instead of confirming a favorite.

  skills/hypothesis-management/SKILL.md on GitHub (opens in a new tab)

• incremental-safety

  Decompose a large or risky change into a sequence of independently safe intermediate states, so the system stays green at every step and any step can be reverted alone.

  skills/incremental-safety/SKILL.md on GitHub (opens in a new tab)

• self-correction-loop

  Invoke when an implementation attempt produces a failure signal (test failure, compile error, wrong output, crash, perf regression) and you must decide whether to retry, rethink, or back out — instead of hammering the same fix.

  skills/self-correction-loop/SKILL.md on GitHub (opens in a new tab)

• spec-to-code-fidelity

  Invoke when implementing from an authoritative written source — an RFC, academic paper, binary format spec, protocol document, or mathematical derivation — where correctness means matching the document, not just passing ad-hoc tests.

  skills/spec-to-code-fidelity/SKILL.md on GitHub (opens in a new tab)

• state-probing

  Invoke before acting on any assumption about the runtime or environment — versions, running processes, file/disk reality, git state, network reachability. Grounds claims about the world in a cheap probe instead of a guess, and re-probes when state may have gone stale.

  skills/state-probing/SKILL.md on GitHub (opens in a new tab)

• tradeoff-articulation

  Invoke when a design decision has multiple viable implementations and the choice affects performance, memory, complexity, or blast radius — forces enumerating real alternatives, quantifying the axes that matter, and recording what would reverse the decision.

  skills/tradeoff-articulation/SKILL.md on GitHub (opens in a new tab)

• verification-discipline

  Invoke before claiming any task is done — defines what counts as evidence of completion (execution, not inspection) and how to verify at the layer the requirement actually lives at.

  skills/verification-discipline/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

Similar skills

• claude-codex-settingsby fcakyon Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM API support. 1.2k stars · 30 skills
• ECCby affaan-m The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Cod… 280k stars · 30 skills
• ponytailby DietrichGebert Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. 164k stars · 6 skills
• archifyby tt-a1i Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more. 84.1k stars · 2 skills
• oh-my-openagentby code-yeongyu OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering. 70.1k stars · 25 skills
• marketingskillsby coreyhaines31 Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering. 54.9k stars · 30 skills