For interpreters: separate lexing from parsing, token stream to AST, structured text processing in stages.
Langue du texte source : anglais
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Skills dans ce dépôt
SkillsMP a collecté 65 skills depuis jimmc414/claude-code-plugin-marketplace. Ouvrez un skill pour examiner sa source et ses détails.
jimmc414/claude-code-plugin-marketplaceAffichage de 25 skills collectés sur 65.
For interpreters: separate lexing from parsing, token stream to AST, structured text processing in stages.
Langue du texte source : anglais
For complex state: encapsulate multiple interacting variables, stateful algorithms, backtracking search state.
Langue du texte source : anglais
For data transformation: list/dict/set comprehensions, chained filtering and mapping, creating lookup structures concisely.
Langue du texte source : anglais
For counting and frequency: histograms, most common elements, vote tallying, neighbor counting, word frequencies, distribution analysis.
Langue du texte source : anglais
For grouping and auto-initialization: adjacency lists, grouping by key, multi-maps, nested structures without KeyError handling.
Langue du texte source : anglais
For memory efficiency: large sequences, infinite streams, early termination possible, pipeline processing without materializing all data.
Langue du texte source : anglais
For inline callbacks: anonymous one-liner functions, key functions for sorting, trivial transformations as dict values.
Langue du texte source : anglais
For lightweight records: immutable data with named fields, hashable structures for sets/dicts, self-documenting tuple alternatives.
Langue du texte source : anglais
For functional operations: named functions for operators, cleaner than lambdas for arithmetic, building interpreter environments.
Langue du texte source : anglais
For sparse data: infinite grids, large spaces with few active elements, membership testing, set operations on coordinates or states.
Langue du texte source : anglais
For rule-based systems: store rules as data, easier to add/modify than if-elif chains, simplification tables, configuration.
Langue du texte source : anglais
For input validation: check format and constraints before processing, fail fast with clear errors, defensive parsing.
Langue du texte source : anglais
For solution checking: independent verification that result is correct, separate from how it was computed.
Langue du texte source : anglais
For test co-location: tests in same file as code, run with main, tests as documentation and examples.
Langue du texte source : anglais
For writing clean functions: start with docstring, iterate until code matches docstring exactly, achieve docstring-code isomorphism.
Langue du texte source : anglais
Principles and patterns for writing error messages that help users recover. Use when auditing, writing, or improving error messages in code. Triggers: error messages, user experience, error handling, exception messages, validation errors.
Langue du texte source : anglais
Provides heuristics for identifying incomplete or broken documentation. Use when validating README setup instructions, testing onboarding flows, or auditing documentation quality. Triggers: docs, readme, onboarding, setup validation, documentation audit.
Langue du texte source : anglais
Knowledge for extracting local Claude Code components and publishing to plugin marketplaces. Use when helping users package skills, agents, hooks into shareable plugins. Triggers: publish, marketplace, share skill, share agent, extract plugin, contribute,…
Langue du texte source : anglais
Analyze code to identify explicit contracts, implicit usage patterns, and realistic boundary conditions. Contains concrete formulas for calculating input realism limits. Use before generating adversarial tests.
Langue du texte source : anglais
Library of realistic adversarial attack vectors and anti-patterns to avoid. Contains examples of valid attacks and subtle gaming patterns to reject.
Langue du texte source : anglais
Manage local Ollama LLM models for development and testing. Use when: running local models, configuring Ollama, switching between fast/quality models, optimizing VRAM usage, troubleshooting model performance, creating Modelfiles, or integrating local LLMs…
Langue du texte source : anglais
Manage parallel Claude Code workstreams using git worktrees. Use when: splitting large tasks across multiple workers, coordinating parallel development, monitoring worker progress, integrating completed work, analyzing work item documents (code reviews, issue…
Langue du texte source : anglais
Analyze completed parallel workflows for lessons learned. Use when: reviewing workflow execution quality, identifying process improvements, evaluating skill effectiveness, post-mortem analysis after parallel work, assessing planning accuracy. Triggers:…
Langue du texte source : anglais
Execute focused implementation tasks in a parallel workflow. Use when: working on assigned files in a worktree, making checkpoint commits, signaling dependencies or blockers, completing orchestrator-assigned tasks. Triggers: worker, checkpoint, worktree,…
Langue du texte source : anglais
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Langue du texte source : anglais