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Claude Skills by rohitg00
github.com/rohitg0098 skills4 installs250 views
- RecapSummarize the last N agent sessions for the current project, grouped by date. Use when the user asks "recap", "what have we been doing", "this week", "today", or wants a rollup of recent work.Votes: 0GitHub stars: 29,184
- Commit ContextTrace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", or wants context on a specific location in the codebase.Votes: 0GitHub stars: 29,173
- Commit HistoryList recent git commits that are linked to agent sessions, optionally filtered by branch or repo. Use when the user asks "show agent commits", "what has the agent shipped", or wants a list of commits with their session context.Votes: 0GitHub stars: 29,173
- ForgetDelete specific observations or sessions from agentmemory. Use when user says "forget this", "delete memory", or wants to remove specific data for privacy.Votes: 0GitHub stars: 29,173
- HandoffResume the most recent agent session for the current working directory, leading with any unanswered question. Use when the user says "where were we", "resume", "handoff", "pick up where I left off", or starts a session with no fresh context.Votes: 0GitHub stars: 29,173
- RecallSearch agentmemory for past observations, sessions, and learnings about a topic. Use when the user says "recall", "remember", "what did we do", or needs context from past sessions.Votes: 0GitHub stars: 29,173
- RememberExplicitly save an insight, decision, or learning to agentmemory's long-term storage. Use when the user says "remember this", "save this", or wants to preserve knowledge for future sessions.Votes: 0GitHub stars: 29,173
- Session HistoryShow what happened in recent past sessions on this project. Use when user asks "what did we do last time", "session history", "past sessions", or wants an overview of previous work.Votes: 0GitHub stars: 29,173
- Agentmemory AgentsHow agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.Votes: 0GitHub stars: 29,173
- Agentmemory ArchitectureHow agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.Votes: 0GitHub stars: 29,173
- Agentmemory ConfigSet up and diagnose local agentmemory, including MCP, environment variables, ports, and feature flags. Use when getting started, checking a connection, enabling a feature, configuring auth, or explaining why a feature is off by default.Votes: 0GitHub stars: 29,173
- Agentmemory HooksThe agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.Votes: 0GitHub stars: 29,173
- Agentmemory Mcp ToolsMap of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.Votes: 0GitHub stars: 29,173
- Agentmemory Rest ApiThe agentmemory HTTP REST API surface, the primary protocol for talking to the memory server. Use when calling agentmemory over HTTP, when MCP is unavailable and you need a fallback, or when integrating a host that does not speak MCP.Votes: 0GitHub stars: 29,173
- LessonSave a correction or hard-won rule as a confidence-weighted lesson that resurfaces before similar work. Use when the user corrects your approach, says "learn this", "always" or "never do X", or you notice yourself repeating a past mistake.Votes: 0GitHub stars: 29,173
- Memory DisciplineThe session loop that makes agentmemory pay off, recall before starting work, save at decision points, learn from corrections. Use when starting a nontrivial task, after settling a decision or debugging a gotcha, or whenever deciding if something belongs in memory.Votes: 0GitHub stars: 29,173
- Write Agentmemory SkillThe house format and rules for writing or updating an agentmemory skill. Use when adding a new skill, restructuring an existing one, or reviewing a skill contribution for consistency.Votes: 0GitHub stars: 29,173
- Agent TeamsCoordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.Votes: 0GitHub stars: 2,892
- Auto SetupAuto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.Votes: 0GitHub stars: 2,892
- Batch OrchestrationDecompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.Votes: 0GitHub stars: 2,892
- Bug CaptureCapture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".Votes: 0GitHub stars: 2,892
- Compact GuardSmart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.Votes: 0GitHub stars: 2,892
- Context EngineeringMaster the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.Votes: 0GitHub stars: 2,892
- Context OptimizerOptimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.Votes: 0GitHub stars: 2,892
- Cost TrackerTrack session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.Votes: 0GitHub stars: 2,892
- DeslopRemove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, and strips defensive code. Use when cleaning up code, simplifying, removing boilerplate, or before committing.Votes: 0GitHub stars: 2,892
- File WatcherConfigure file watching hooks to auto-react to config changes, env file updates, and dependency modifications. Use to set up reactive workflows.Votes: 0GitHub stars: 2,892
- InsightsShow session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.Votes: 0GitHub stars: 2,892
- Learn RuleCapture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".Votes: 0GitHub stars: 2,892
- Llm CouncilProvider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Credentials come from explicit plugin configuration or pro-workflow-specific CLI variables. Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.Votes: 0GitHub stars: 2,892
- Llm GateLLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.Votes: 0GitHub stars: 2,892
- Mcp AuditAudit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.Votes: 0GitHub stars: 2,892
- Module MapProduce a one-screen map of an unfamiliar area of the codebase: entry points, modules, data flow, callers. Designed to be read in fifteen seconds. Use when the user says "I do not know this area", "give me the map", "zoom out", "orient me".Votes: 0GitHub stars: 2,892
- OrchestrateWire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.Votes: 0GitHub stars: 2,892
- Parallel WorktreesCreate and manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.Votes: 0GitHub stars: 2,892
- Permission TunerAnalyze permission prompts and auto mode denials, then generate permission rules and autoMode entries that cut prompt fatigue. Use when prompts keep interrupting, auto mode falls back to prompting, or after sessions with many denials.Votes: 0GitHub stars: 2,892
- Plan InterrogateStress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.Votes: 0GitHub stars: 2,892
- Pro WorkflowComplete AI coding workflow system. Orchestration patterns, 18 hook events, 8 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.Votes: 0GitHub stars: 2,892
- Replay LearningsSurface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".Votes: 0GitHub stars: 2,892
- Safe ModePrevent destructive operations using Claude Code hooks. Three modes — cautious (warn on dangerous commands), lockdown (restrict edits to one directory), and clear (remove restrictions). Uses PreToolUse matchers for Bash, Edit, and Write.Votes: 0GitHub stars: 2,892
- Session HandoffGenerate a structured handoff document capturing current progress, open tasks, key decisions, and context needed to resume work. Use when ending a session, saying "continue later", "save progress", "session summary", or "pick up where I left off".Votes: 0GitHub stars: 2,892
- Smart CommitRun quality gates, review staged changes for issues, and create a well-crafted conventional commit. Use when saying "commit", "git commit", "save my changes", or ready to commit after making changes.Votes: 0GitHub stars: 2,892
- Sprint StatusTrack parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.Votes: 0GitHub stars: 2,892
- Survey GeneratorCompile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a "survey...Votes: 0GitHub stars: 2,892
- Thoroughness ScoringScore every decision point with a Thoroughness Rating (1-10). AI makes the marginal cost of doing things properly near-zero — pick the higher-rated option every time. Includes scope checks to distinguish contained vs unbounded work.Votes: 0GitHub stars: 2,892
- Token EfficiencyReduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.Votes: 0GitHub stars: 2,892
- Wiki BuilderStart, structure, and grow a persistent research wiki indexed in pro-workflow's SQLite knowledge base. Each wiki is a folder of markdown pages with provenance, plus a shadow FTS5 index so any session can recall it. Use when the user says "start a wiki", "add to wiki", "compile a page", "wiki on X", or wants a long-lived knowledge base on a topic, paper, product, person, project, or codebase.Votes: 0GitHub stars: 2,892
- Wiki QueryQuery pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).Votes: 0GitHub stars: 2,892
- Wiki Research LoopAuto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from the queue, fetches sources, drafts a wiki page, dedupes claims against existing pages, enqueues follow-up seeds. Halts on budget cap, depth cap, or convergence. Use when the user says "research <topic>", "grow the <slug> wiki", "auto-research", or wants a knowledge base that builds itself overnight.Votes: 0GitHub stars: 2,892
- Wiki ViewerRender a self-contained HTML viewer for a pro-workflow wiki. Pages, sources, claims, seed queue, page-link graph and full-text search all in one file. No external dependencies, no JS framework, S3-uploadable. Use when the user wants to browse a wiki visually, share its current state with someone, audit research progress, or hand off a knowledge base. Inspired by Thariq Shihipar's "Unreasonable Effectiveness of HTML" — favors information density and shareability over markdown-only outputs.Votes: 0GitHub stars: 2,892