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cccskills

Philipp J. Thoss

@pjt222

AI Engineer · ML · DS · Chemist · Maille Artisan

  • GitHub
  • Krems an der Donau, Austria

300 スキル1 リポジトリ 42

スキル(300)

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Coordinate safely with a peer interactive session sharing the same git worktree — check first whether a separate worktree removes the problem, then declare path and branch scope before the first edit, survive a contended index lock, and review the whole branch before opening a PR. Activate when starting work in a repository that may already be occupied, when a git command fails with `index.lock: File exists`, when `guard:snapshot` refuses because a snapshot already exists, or when a commit turns out to contain a file this session never edited. When one session leads and the other supports, divide the labour by shape and re-derive every reported number against a named revision before citing it. Distinct from subagent concurrency: a peer session cannot be bracketed, because no baseline exists from before its edits.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Create a Work Breakdown Structure (WBS) and WBS Dictionary from project charter deliverables. Covers hierarchical decomposition, WBS coding, effort estimation, dependency identification, and critical path candidates. Use after a project charter is approved, when planning a classic or waterfall project with defined deliverables, breaking a large initiative into manageable work packages, or establishing a basis for effort estimation and resource planning.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

center

無料

AI dynamic reasoning balance — maintaining grounded reasoning under cognitive pressure, smooth chain-of-thought coordination, and weight-shifting cognitive load across subsystems. Use at the beginning of a complex task requiring multiple coordinated reasoning threads, after a sudden context shift or tool failure, when chain-of-thought feels jerky, or when preparing for sustained focused work that requires all subsystems in alignment.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Verify document completeness for each bureaucratic step of an EU/DACH relocation, flagging missing items and translation requirements. Use after creating a relocation plan and before beginning bureaucratic procedures, when preparing for a specific appointment (Buergeramt, Finanzamt), when unsure which documents need certified translation or apostille, after receiving a rejection or request for additional documents, or as a periodic check during the relocation process to ensure nothing has been overlooked.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Implement circuit breaker logic for agentic tool calls — tracking tool health, transitioning between closed/open/half-open states, reducing task scope when tools fail, routing to alternatives via capability maps, and enforcing failure budgets to prevent error accumulation. Separates orchestration (deciding what to attempt) from execution (calling tools), following the expeditor pattern. Use when building agents that depend on multiple tools with varying reliability, designing fault-tolerant agentic workflows, recovering gracefully from tool outages mid-task, or hardening existing agents against cascading tool failures.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Remove dead code, unused imports, fix lint warnings, and normalize formatting across a codebase without changing business logic or architecture. Use when lint warnings have piled up during rapid development, unused imports and variables clutter files, dead code paths were never removed, formatting is inconsistent, or static analysis tools report fixable hygiene issues.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Compose or analyze sacred music in Hildegard von Bingen's distinctive modal style. Covers modal selection, melodic contour (wide-range melodies), text-setting (syllabic and melismatic), neumatic notation, and liturgical context for antiphons, sequences, and responsories. Use when composing a new piece in Hildegardian style, analyzing an existing chant for structure and mode, researching medieval modal music, preparing to perform or teach Hildegard's music, or setting Latin sacred texts.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Conduct a GxP audit of computerized systems and processes. Covers audit planning, opening meetings, evidence collection, finding classification (critical/major/minor), CAPA generation, closing meetings, report writing, and follow-up verification. Use for scheduled internal audits, supplier qualification audits, pre-inspection readiness assessments, for-cause audits triggered by deviations or data integrity concerns, or periodic compliance posture reviews of validated systems.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Conduct a blameless post-mortem analysis after an incident. Build timeline reconstruction, identify contributing factors, and generate actionable improvements. Focus on systemic issues rather than individual blame. Use after any production incident or service degradation, following a near-miss, when investigating recurring issues, or to share systemic learnings across teams.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Configure Prometheus Alertmanager with routing trees, receivers (Slack, PagerDuty, email), inhibition rules, silences, and notification templates for actionable incident alerting. Use when implementing proactive monitoring with automated incident detection, routing alerts to the appropriate team by severity, reducing alert fatigue through grouping and deduplication, integrating with on-call systems like PagerDuty, or migrating from legacy alerting to Prometheus-based alerting.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Detect missing glyphs, icons, and HD variants by comparing registries against glyph mapping files, icon directories, and manifests. Reports gaps for skills, agents, and teams across all palettes.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

attune

無料

AI relational calibration — reading and adapting to the specific person you are working with. Goes beyond user-intent alignment (solving the right problem) to genuine attunement (meeting the person where they are). Maps communication style, expertise depth, emotional register, and implicit preferences from conversational evidence. Use at the start of a new session, when communication feels mismatched, after receiving unexpected feedback, or when transitioning between very different users or contexts.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Audit project dependencies for version staleness, security vulnerabilities, and compatibility issues. Covers lock file analysis, upgrade path planning, and breaking change assessment. Use before a release to ensure dependencies are current and secure, during periodic maintenance reviews, after receiving a security advisory, when upgrading to a new language version, before submitting to CRAN or npm, or when inheriting a project to assess its dependency health.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Audit and repair Claude Code discovery symlinks for skills, agents, and teams. Compares registries against .claude/ directories at project and global levels, detects missing, broken, and extraneous symlinks, distinguishes almanac content from external projects, and optionally repairs gaps. Use after adding new skills or agents, after a repository rename or move, when slash commands stop working, or as a periodic health check.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

awareness

無料

AI situational awareness — internal threat detection for hallucination risk, scope creep, and context degradation. Maps Cooper color codes to reasoning states and OODA loop to real-time decisions. Use during any task where reasoning quality matters, when operating in unfamiliar territory, after detecting early warning signs such as an uncertain fact or suspicious tool result, or before high-stakes output like irreversible changes or architectural decisions.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Foundation obedience training for dogs — sit, stay, come, heel, and down using positive reinforcement and marker training. Covers timing, reward hierarchy, session structure, distraction proofing, and common handler errors. Use when a new puppy (8+ weeks) is ready for foundation training, an adult dog lacks reliable basic commands, a rescue dog needs to learn the household's command vocabulary, before advancing to complex behaviors or off-leash work, or when existing commands have degraded and need re-establishing.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Address unwanted dog behaviors through desensitization, counter-conditioning, and management. Covers reactivity (to dogs, people, sounds), separation anxiety, resource guarding, excessive barking, and leash pulling using force-free methods with systematic threshold management. Use when a dog shows reactivity toward other dogs, people, or stimuli; when separation anxiety causes destructive behavior or vocalization; when resource guarding is present; or when behaviors like excessive barking or leash pulling interfere with daily life — after basic obedience is established.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Select an OCR/HTR engine by benchmarking candidates on the same labelled samples — source ground truth from open datasets (e.g. Hugging Face PAGE-XML corpora) or hand-transcription, wrap every engine behind a transcribe(image_path) -> str adapter (vision-LLMs via any OpenAI-compatible endpoint, dedicated HTR REST APIs, cloud OCR), and score with zero-dependency raw CER, lenient CER, WER, and a critical name/date token diff. Use when choosing an engine for handwriting or historical-document transcription, when published accuracy claims need honest verification on your own material, or when a records workflow must surface confident-but-wrong names and dates that a low aggregate CER hides.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Creation and genesis — generative ideation from void, structured emergence from ambiguity, and the discipline of bringing new patterns into existence. Maps Brahma's creative power to AI reasoning: transforming cleared space into coherent new structures, seeding possibilities, and nurturing nascent ideas through their fragile early stages. Use after shiva-bhaga dissolution has cleared stale patterns, when facing a genuinely novel problem with no obvious template, or when incremental modification has reached its limits and a fresh design is needed.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Design and implement multi-stage CI/CD pipelines using GitHub Actions with matrix builds, dependency caching, artifact management, and secret handling. Create workflows that span linting, testing, building, and deployment stages with parallel execution and conditional logic. Use when setting up automated testing and deployment for a new project, migrating from Jenkins or CircleCI to GitHub Actions, implementing matrix builds across platforms, adding build caching, or creating multi-stage pipelines with security scanning and quality gates.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Build a plugin or adapter for a CLI tool using the abstract base class pattern. Covers defining the contract (static fields, required methods), choosing an installation strategy (symlink, copy, append-to-file), implementing detection, install/uninstall with idempotency, listing, auditing, and registering the plugin. Use when adding support for a new framework to a CLI installer, building a plugin system for any multi-target tool, or extending an existing adapter architecture.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

AI multi-path reasoning coherence using bee democracy — independent evaluation of competing approaches, waggle dance as reasoning-out-loud, quorum sensing for confidence thresholds, and deadlock resolution. Use when forage-solutions has identified multiple valid approaches and a selection must be made, when oscillating between options without committing, when justifying an architecture or tool choice with structured reasoning, or before an irreversible action where the cost of the wrong choice is high.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Achieve distributed agreement without central authority using bee democracy, threshold voting, and quorum sensing. Covers proposal generation, advocacy dynamics, commitment thresholds, deadlock resolution, and consensus quality assessment. Use when a group must decide between options without a designated leader, when centralized decision-making is a bottleneck, when stakeholders have different perspectives to integrate, or when designing automated systems that must reach consensus such as distributed databases or multi-agent AI.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

Build a custom MCP (Model Context Protocol) server that exposes domain-specific tools to AI assistants. Covers server implementation in Node.js or R, tool definitions, the resources and prompts primitives, transport configuration, and testing with Claude Code. Use when you need to expose custom functionality beyond what mcptools provides, when building specialized domain-specific AI integrations, or when wrapping existing APIs or services as MCP tools.

日本語の概要は準備中です。原文の説明を表示しています。

pjt222/agent-almanac422026年10月22日 更新

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