Claude/document native tools q xa43#22251
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spaceghostp wants to merge 11 commits intoanthropics:mainfrom
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Claude/document native tools q xa43#22251spaceghostp wants to merge 11 commits intoanthropics:mainfrom
spaceghostp wants to merge 11 commits intoanthropics:mainfrom
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Synced CHANGELOG.md with the official anthropics/claude-code repository, adding all entries from 1.0.4 through 2.1.25. https://claude.ai/code/session_013tSqR2D9mABudqw9vTJ6Uo
Document all 27 native tools available in Claude Code CLI with their complete anatomy including parameters, types, descriptions, and behavioral characteristics (read-only, concurrency-safe, etc.). https://claude.ai/code/session_01CJnBiMXiuhsnvvvcqAMPYS
Distills the architectural principles, quality standards, and operational patterns from glittercowboy/get-shit-done into a reusable prompt that can be applied to calibrate any repository. Covers: project structure, goal-backward planning, execution standards, verification, git strategy, code quality, debugging methodology, state preservation, and multi-agent orchestration. https://claude.ai/code/session_01RnwXz3qc8dPJfQwhxGLeBy
Creates a Claude Code slash command that audits any repository against GSD engineering principles and applies transformations incrementally. The skill operates in five phases: - Phase 1: Deep audit across 6 dimensions (structure, code quality, git practices, verification, documentation, dependencies) - Phase 2: Structured gap analysis report with prioritized findings - Phase 3: Incremental transformations with atomic commits - Phase 4: Verification that nothing broke - Phase 5: Final report with applied changes and remaining gaps Enforces hard rules: audit before changing, no breaking changes without asking, no over-application, preserve existing conventions, tests must still pass. Usage: /calibrate-repo <repo-path-or-url> https://claude.ai/code/session_01RnwXz3qc8dPJfQwhxGLeBy
Apply improvements from 6-rubric adversarial review (overall 2.05/5 → targeting 4+/5): Accuracy fixes: - Fix AskUserQuestion header max from ~20 to 12 chars - Add 3 missing Task parameters (name, team_name, mode with enum values) - Add 6 missing Teammate parameters (agent_id, description, reason, request_id, feedback, assigned_name) - Add 2 missing AskUserQuestion parameters (answers, metadata) - Add deprecated shell_id parameter to TaskStop - Document aliases (KillShell, AgentOutputTool, BashOutputTool) - Add missing default values for Grep (head_limit, offset, multiline) - Document AskUserQuestion uniqueness constraints - Note Task max_turns as positive integer - Document Bash _simulatedSedEdit as internal parameter - Add max result sizes for all tools in Full Tool Matrix - Add Requires Permission property to all 27 tools Structural enhancements: - Add Glossary defining 13 domain terms - Add Quick Reference with essential tools, use-case table, and full tool matrix - Add Tool Selection Guide (file ops, search, execution, orchestration) - Add Common Workflow Patterns (Read→Edit, Glob→Grep→Read, background tasks, parallel ops, sub-agent delegation) - Add Permission & Security Model (auto-allowed list, permission-required table, sandbox, config) - Add Configuration Reference (env vars, CLI flags, config files) - Split "Agent/Task Tools" into "Sub-Agent Execution" and "Task Management" - Split "Interaction & Intelligence" into separate categories - Document TodoWrite/TaskCreate mutual exclusivity - Add Historical Names table (View→Read, aliases) - Add MCP configuration section with CLI commands - Add cross-references between related tools - Add examples, best practices, and common errors for core tools - Document WebSearch platform availability constraints - Add Glob path guidance (don't enter "undefined"/"null") https://claude.ai/code/session_01CJnBiMXiuhsnvvvcqAMPYS
Three composable slash commands extracted from session methodology: /anatomize <target> — Full two-phase pipeline: Phase 1: Document all instances of target with identity, architecture, dependencies, constraints, and limitations in structured markdown. Phase 2: Launch 6 parallel adversarial subagents with strict rubrics (convex wins, extending capabilities, reducing steps, improvement integration, accuracy fidelity, structural quality), synthesize findings, and apply improvements targeting 4+/5 across all dimensions. /adversarial-review <artifact> — Standalone Phase 2: 6-dimension parallel adversarial evaluation with scoring, findings, recommendations, and automatic application of improvements. /extract-anatomy <target> — Standalone Phase 1: Comprehensive anatomical extraction with identity, architecture, dependencies, constraints per item. Outputs structured markdown with glossary, quick reference matrix, and cross-references. https://claude.ai/code/session_01CJnBiMXiuhsnvvvcqAMPYS
New slash commands extracted from session methodology: /fan-out-review <target> — The parallel adversarial subagent pattern formalized as a reusable skill. Documents the fan-out → synthesize → apply pipeline with rubric templates for 4 artifact types: documentation, code, tests, and architecture. Includes custom rubric design guide for anything that doesn't fit the templates. /considerations <context> — The 7 key considerations as pre-flight checklist and in-flight guard-rails: 1. Adversarial eval most valuable on first drafts (diminishing returns) 2. Parallel evaluation beats sequential (narrow mandates, no groupthink) 3. Fan-out → synthesize → apply is the core reusable unit 4. Scoring forces accountability (no hand-waving) 5. Source-of-truth extraction catches documentation lies 6. Prioritize convex easy wins (impact/effort ratio) 7. Know when to stop (4+/5 or <3 findings per round) Includes calibration table, priority formula, and stopping criteria. /review-docs <file> — Focused documentation review with 6 parallel rubrics tuned for reference material. /review-code <file> — Focused code review with 6 parallel rubrics tuned for implementation (correctness prioritized over cleanup). /audit-completeness <artifact> — Cross-reference any artifact against its source of truth. Produces structured delta report with severity classification. Includes "common documentation lies" checklist. https://claude.ai/code/session_01CJnBiMXiuhsnvvvcqAMPYS
Both /extract-anatomy and /anatomize now use parallel subagent orchestration for the extraction phase, not just the evaluation phase. Phase 1 now fans out to 6 simultaneous extraction subagents: E1: Identity & Inventory (master checklist) E2: Inputs, Outputs & Schemas (parameter tables from source) E3: Internal Mechanics & State Effects (runtime behavior) E4: Dependencies & Relationships (dependency graph, peer map) E5: Constraints, Limitations & Availability (hard/soft limits) E6: Configuration & Environment (env vars, CLI flags, config files) Key additions: - Phase 0 (Reconnaissance): fast discovery scan before extraction - Phase 1.5 (Merge): conflict resolution rules (schema > observed) - Validation checklist before proceeding to evaluation - Scaling strategy: split E2/E3 by category for >20 instances - Optional E7 (cross-system) and E8 (versioning) subagents - Rationale table: why parallel extraction beats serial Full pipeline is now: Recon (1) → Extract (6‖) → Merge → Evaluate (6‖) → Synthesize → Apply https://claude.ai/code/session_01CJnBiMXiuhsnvvvcqAMPYS
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