Add confluence-to-agent-knowledge-base skill#42
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…ents ## New Skill: continue-claude-work (v1.1.0) - Recover actionable context from local `.claude` session artifacts - Compact-boundary-aware extraction (reads Claude's own compaction summaries) - Subagent workflow recovery (reports completed vs interrupted subagents) - Session end reason detection (clean exit, interrupted, error cascade, abandoned) - Size-adaptive strategy for small/large sessions - Noise filtering (skips 37-53% of session lines) - Self-session exclusion, stale index fallback, MEMORY.md integration - Bundled Python script (no external dependencies) - Security scan passed, argument-hint added ## Skill Updates - **skill-creator** (v1.5.0): Complete rewrite with evaluation framework - Added agents/ (analyzer, comparator, grader) - Added eval-viewer/ (generate_review.py, viewer.html) - Added scripts/ (run_eval, aggregate_benchmark, improve_description, run_loop) - Added references/schemas.md (eval/benchmark schemas) - Expanded SKILL.md with inline vs fork guidance, progressive disclosure patterns - Enhanced package_skill.py and quick_validate.py - **transcript-fixer** (v1.2.0): CLI improvements and test coverage - Enhanced argument_parser.py and commands.py - Added correction_service.py improvements - Added test_correction_service.py - **tunnel-doctor** (v1.4.0): Quick diagnostic script - Added scripts/quick_diagnose.py - Enhanced SKILL.md with 5-layer conflict model - **pdf-creator** (v1.1.0): Auto DYLD_LIBRARY_PATH + rendering fixes - Auto-detect and set DYLD_LIBRARY_PATH for weasyprint - Fixed list rendering and CSS improvements - **github-contributor** (v1.0.3): Enhanced project evaluation - Added evidence-loop, redaction, and merge-ready PR guidance ## Documentation - Updated marketplace.json (v1.38.0, 42 skills) - Updated CHANGELOG.md with v1.38.0 entry - Updated CLAUDE.md (skill count, marketplace version, daymade#42 description) - Updated README.md (badges, skill section daymade#42, use case, requirements) - Updated README.zh-CN.md (badges, skill section daymade#42, use case, requirements) - Fixed absolute paths in continue-claude-work/references/file_structure.md ## Validation - All skills passed quick_validate.py - continue-claude-work passed security_scan.py - marketplace.json validated (valid JSON) - Cross-checked version consistency across all docs
- Add _ensure_list_spacing() to handle lists without blank lines before them - Modify _md_to_html() to preprocess markdown content via stdin - Add automated test suite (scripts/tests/test_list_rendering.py) - Fix: Lists without preceding blank lines now render correctly - Original markdown files remain unmodified (preprocessing in memory only) Root cause: Pandoc requires blank lines before lists per CommonMark spec. Without preprocessing, lists following paragraphs render as plain text. Tested scenarios: ✅ Lists with blank lines (normal case) ✅ Lists without blank lines (critical fix) ✅ Ordered lists without blank lines ✅ Original file integrity preserved Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…on workflow - Add 10-point high-quality PR formula based on real-world success cases - Add investigation phase workflow (post to issue before PR) - Add git history tracing techniques (git log, git blame) - Add evidence-loop pattern (reproduce → trace → link → post) - Add high-quality PR case study reference - Update PR checklist with investigation steps - Emphasize separation of concerns (detailed analysis in issue, fix summary in PR) Key principles: - Deep investigation before coding - Minimal, surgical fixes - Professional communication - No internal/irrelevant details in PR Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ripts New scripts: - fix_transcript_timestamps.py: Repair malformed timestamps (HH:MM:SS format) - split_transcript_sections.py: Split transcript by keywords and rebase timestamps - Automated tests for both scripts Features: - Timestamp validation and repair (handle missing colons, invalid ranges) - Section splitting with custom names - Rebase timestamps to 00:00:00 for each section - Preserve speaker format and content integrity - In-place editing with backup Documentation updates: - Add usage examples to SKILL.md - Clarify dictionary iteration workflow (save stable patterns only) - Update workflow guides with new script references - Add script parameter documentation Use cases: - Fix ASR output with broken timestamps - Split long meetings into focused sections - Prepare sections for independent processing Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add skill to fix broken line wrapping in Claude Code exported .txt files. Reconstructs tables, paragraphs, paths, and tool calls that were hard-wrapped at fixed column widths. Features: - State-machine parser with next-line look-ahead - Handles 10 content types (user prompts, Claude responses, tables, tool calls, etc.) - Pangu spacing for CJK/ASCII mixed text - 53 automated validation checks - Safety: never modifies original files, verifies marker counts Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds dependency detection before skill creation starts, preventing mid-workflow failures (e.g., gitleaks missing at packaging, PyYAML missing at validation). Documents correct script invocation via python3 -m syntax and auto-installation commands. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…losure Move verbose sections to references/ files, keeping concise pointers in CLAUDE.md. Zero content loss — all documentation preserved in reference files that Claude loads on demand. Moved to references/: - plugin-architecture.md (296 lines) — architecture docs - plugin-troubleshooting.md (441 lines) — installation debugging - new-skill-guide.md (241 lines) — detailed templates/checklists - promotion-policy.md (60 lines) — third-party request policy - youtube-downloader/references/internal-sop.md — yt-dlp SOP Also fixed: Available Skills daymade#36-42 indentation, deduplicated 4x versioning sections into one, removed stale notes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- add scrapling-skill with validated CLI workflow, diagnostics, packaging, and docs integration - fix skill-creator package_skill.py so direct script invocation works from repo root - fix continue-claude-work extract_resume_context.py typing compatibility for local python3 - bump marketplace to 1.39.0 and updated skill versions
Replace real Zhipu GLM API key with fake placeholder in mask_secret() and SecretStr docstring examples. The real key was exposed in this PUBLIC repo. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ndings transcript-fixer: - Add common_words.py safety system (blocks common Chinese words from dictionary) - Add --audit command to scan existing dictionary for risky rules - Add --force flag to override safety checks explicitly - Fix substring corruption (产线数据→产线束据, 现金流→现现金流) - Unified position-aware replacement with _already_corrected() check - 69 tests covering all production false positive scenarios tunnel-doctor: - Add Step 5A: Tailscale SSH proxy silent failure on WSL - Add Step 5B: App Store vs Standalone Tailscale on macOS - Add Go net/http NO_PROXY CIDR incompatibility warning - Add utun interface identification (MTU 1280=Tailscale, 4064=Shadowrocket) - Fix "Four→Five Conflict Layers" inconsistency in reference doc - Add complete working Shadowrocket config reference Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Claude IS the AI — when running inside Claude Code, use Claude's own language understanding for Stage 2 corrections instead of calling an external API. No API key needed by default. New capabilities in native mode: - Intelligent paragraph breaks at logical topic transitions - Filler word reduction (excessive repetition removal) - Interactive review with confidence-level tables - Context-aware judgment using full document context API mode (GLM) remains available for batch/automation use cases. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…AskUserQuestion New skill: asr-transcribe-to-text (v1.0.0) - Transcribe audio/video via configurable ASR endpoint (Qwen3-ASR default) - Persistent config in CLAUDE_PLUGIN_DATA (endpoint, model, proxy bypass) - Single-request-first strategy (empirically proven: 55min in one request) - Fallback overlap-merge script for very long audio (18min chunks, 2min overlap) - AskUserQuestion at config init, health check failure, and output verification skill-creator optimization (v1.5.1 → v1.6.0) - Add AskUserQuestion best practices section (Re-ground/Simplify/Recommend/Options) - Inject structured decision points at 8 key workflow stages - Inspired by gstack's atomic question pattern Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Rename skill to better reflect its purpose (document-to-markdown conversion) - Update SKILL.md name, description, and trigger keywords - Add benchmark reference (2026-03-22) - Update marketplace.json entry (name, skills path, version 2.0.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…gnosis Real-world findings from debugging docker build failures on macOS with OrbStack + Shadowrocket: - Add docker pull vs docker build vs docker run proxy path distinction table - Add 2G-1: --network host workaround for OrbStack transparent proxy broken by TUN - Rewrite 2G-2: use host.internal (not 127.0.0.1) for OrbStack Docker proxy - Add 2G-4: container healthcheck failure from lowercase http_proxy env var leak - Add 3 new symptom entries to Step 1 diagnostic index - Add smoking gun diagnosis: wget showing "127.0.0.1: Connection refused" Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
… full rename cleanup - Add CJK bold spacing fix: insert spaces around **bold** spans containing CJK characters for correct rendering (handles emoji adjacency, already-spaced) - Add JSON pretty-print: auto-format JSON code blocks with 2-space indent - Add 31 unit tests covering all post-processing functions - Fix pandoc simple table detection (1-space column gaps) - Fix image path double-nesting when --assets-dir ends with 'media' - Rename all markdown-tools references across 15 files (README, QUICKSTART, marketplace.json, CLAUDE.md, meeting-minutes-taker, GitHub templates) - Add 5-tool benchmark report (Docling/MarkItDown/Pandoc/Mammoth/ours) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
… to 2.1.0 Sync description with actual capabilities: CJK bold spacing, JSON pretty-print, simple table support, 31 tests, benchmark score. Add cjk/chinese keywords. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…kill draft - pdf-creator v1.2.0: theme system (default/warm-terra), dual backend (weasyprint/chrome auto-detect), argparse CLI, extracted CSS to themes/ - terraform-skill: operational traps from real deployments (provisioner timing, DNS duplication, multi-env isolation, pre-deploy validation) - asr-transcribe-to-text: add security scan marker Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…iew Team - Correct source accessibility: distinguish circular verification (forbidden) from exclusive information advantage (encouraged) - Add Counter-Review Team with 5 specialized agents (claim-validator, source-diversity-checker, recency-validator, contradiction-finder, counter-review-coordinator) - Add Enterprise Research Mode: 6-dimension data collection framework with SWOT, competitive barrier, and risk matrix analysis - Update version to 2.4.0 - Add comprehensive reference docs: - source_accessibility_policy.md - V6_1_improvements.md - counter_review_team_guide.md - enterprise_analysis_frameworks.md - enterprise_quality_checklist.md - enterprise_research_methodology.md - quality_gates.md - report_template_v6.md - research_notes_format.md - subagent_prompt.md Based on "深度推理" case study methodology lessons learned. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ample Replace \"深度推理（上海）科技有限公司\" with \"字节跳动子公司\" as the case study example to avoid exposing user's own company info. Also update .gitignore to exclude: - deep-research-output/ (contains sensitive research data) - recovered_deep_research/ - .opencli/ - douban-skill/ (work-in-progress) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…dology New skill: douban-skill - Full export of Douban (豆瓣) book/movie/music/game collections via Frodo API - RSS incremental sync for daily updates - Python stdlib only, zero dependencies, cross-platform (macOS/Windows/Linux) - Documented 7 failed approaches (PoW anti-scraping) and why Frodo API is the only working solution - Pre-flight user validation, KeyboardInterrupt handling, pagination bug fix skill-creator enhancements: - Add development methodology reference (8-phase process with prior art research, counter review, and real failure case studies) - Sync upstream changes: improve_description.py now uses `claude -p` instead of Anthropic SDK (no ANTHROPIC_API_KEY needed), remove stale "extended thinking" ref - Add "Updating an existing skill" guidance to Claude.ai and Cowork sections - Restore test case heuristic guidance for objective vs subjective skills README updates: - Document fork advantages vs upstream with quality comparison table (65 vs 42) - Bilingual (EN + ZH-CN) with consistent content Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…UDE.md) Prevents sensitive data (user paths, phone numbers, personal IDs) from entering git history. Born from redacting 6 historical commits. - .gitleaks.toml: custom rules for absolute paths, phone numbers, usernames - .githooks/pre-commit: dual-layer scan (gitleaks + regex fallback) - CLAUDE.md: updated Privacy section documenting the defense system Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…nciple, add date handling rules
- SKILL.md length driven by information density, not line count
- Factual dates (release dates, "last verified") should be kept — they help readers judge freshness
- Conditional date logic ("before X use old API") should be avoided
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
… recovery Previously, recover_content.py saved all files flat in the output directory, causing files with the same name (e.g., src/utils.py and tests/utils.py) to overwrite each other. Now the script preserves the original directory structure, creating subdirectories as needed within the output directory. - Bump version: 1.0.0 → 1.0.1 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace hardcoded user paths that triggered gitleaks PII detection: - /Users/username/ → ~/ - /Users/user/ → ~/ - -Users-username- → -Users-<username>- (normalized paths) Also fix the sed example to use <home> placeholder instead of regex pattern that would match actual usernames. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Update SKILL.md and workflow_examples.md to reflect the new behavior of recover_content.py which now preserves original directory structure: - SKILL.md: Add 'preserving the original directory structure' note - SKILL.md: Update verification examples to use find command and show subdirectory paths (e.g., ./recovered_content/src/components/) - workflow_examples.md: Update diff example to account for nested paths Version bump: 1.0.1 → 1.0.2 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
asr-transcribe-to-text: - Add local MLX transcription path (macOS Apple Silicon, 15-27x realtime) - Add bundled script transcribe_local_mlx.py with max_tokens=200000 - Add local_mlx_guide.md with benchmarks and truncation trap docs - Auto-detect platform and recommend local vs remote mode - Fix audio extraction format (MP3 → WAV 16kHz mono PCM) - Add Step 5: recommend transcript-fixer after transcription transcript-fixer: - Optimize SKILL.md from 289 → 153 lines (best practices compliance) - Move FALSE_POSITIVE_RISKS (40 lines) to references/false_positive_guide.md - Move Example Session to references/example_session.md - Improve description for better triggering (226 → 580 chars) - Add handoff to meeting-minutes-taker skill-creator: - Add "Pipeline Handoff" pattern to Skill Writing Guide - Add pipeline check reminder in Step 4 (Edit the Skill) Pipeline handoffs added to 8 skills forming 6 chains: - youtube-downloader → asr-transcribe-to-text → transcript-fixer → meeting-minutes-taker → pdf/ppt-creator - deep-research → fact-checker → pdf/ppt-creator - doc-to-markdown → docs-cleaner / fact-checker - claude-code-history-files-finder → continue-claude-work Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds a new Community Skills section to the README with an entry for confluence-to-agent-knowledge-base, which turns Confluence Cloud instances into private, searchable AI knowledge bases on GitHub using the Atlassian MCP connector. Repo: https://github.com/miningstore/confluence-to-agent-knowledge-base Install: claude skill add miningstore/confluence-to-agent-knowledge-base
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…ents ## New Skill: continue-claude-work (v1.1.0) - Recover actionable context from local `.claude` session artifacts - Compact-boundary-aware extraction (reads Claude's own compaction summaries) - Subagent workflow recovery (reports completed vs interrupted subagents) - Session end reason detection (clean exit, interrupted, error cascade, abandoned) - Size-adaptive strategy for small/large sessions - Noise filtering (skips 37-53% of session lines) - Self-session exclusion, stale index fallback, MEMORY.md integration - Bundled Python script (no external dependencies) - Security scan passed, argument-hint added ## Skill Updates - **skill-creator** (v1.5.0): Complete rewrite with evaluation framework - Added agents/ (analyzer, comparator, grader) - Added eval-viewer/ (generate_review.py, viewer.html) - Added scripts/ (run_eval, aggregate_benchmark, improve_description, run_loop) - Added references/schemas.md (eval/benchmark schemas) - Expanded SKILL.md with inline vs fork guidance, progressive disclosure patterns - Enhanced package_skill.py and quick_validate.py - **transcript-fixer** (v1.2.0): CLI improvements and test coverage - Enhanced argument_parser.py and commands.py - Added correction_service.py improvements - Added test_correction_service.py - **tunnel-doctor** (v1.4.0): Quick diagnostic script - Added scripts/quick_diagnose.py - Enhanced SKILL.md with 5-layer conflict model - **pdf-creator** (v1.1.0): Auto DYLD_LIBRARY_PATH + rendering fixes - Auto-detect and set DYLD_LIBRARY_PATH for weasyprint - Fixed list rendering and CSS improvements - **github-contributor** (v1.0.3): Enhanced project evaluation - Added evidence-loop, redaction, and merge-ready PR guidance ## Documentation - Updated marketplace.json (v1.38.0, 42 skills) - Updated CHANGELOG.md with v1.38.0 entry - Updated CLAUDE.md (skill count, marketplace version, #42 description) - Updated README.md (badges, skill section #42, use case, requirements) - Updated README.zh-CN.md (badges, skill section #42, use case, requirements) - Fixed absolute paths in continue-claude-work/references/file_structure.md ## Validation - All skills passed quick_validate.py - continue-claude-work passed security_scan.py - marketplace.json validated (valid JSON) - Cross-checked version consistency across all docs
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Summary
Adds confluence-to-agent-knowledge-base to a new "Community Skills" section in the README.
This skill turns any Confluence Cloud instance into a private, searchable AI knowledge base on GitHub with access-tiered repos. It provides an interactive 6-phase walkthrough using the Atlassian MCP connector (no API tokens needed), ingests pages, compiles a structured wiki, sets up search/Q&A CLI, and configures weekly auto-sync.
claude skill add miningstore/confluence-to-agent-knowledge-baseChanges
README.mdwith a table format for external skill references