Skip to content
cccskills
FreePublished on GitHub

retro-private-skills

Reflect reusable learnings into a private Agent Skills repository with scoped safety gates and same-run private commit/push. Not for editing ~/.copilot personal assets or workspace/repository assets (workspace and ~/.copilot skills may be read as intake sources). Use when: skill retro, private skill authoring, skill repository fix, create or update SKILL.md, workspace skill intake.

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (5)

  • SKILL.md11.4 KB
  • LICENSE.txt5.2 KB
  • references/authoring-rules.md2.6 KB
  • references/git-safety.md2.5 KB
  • references/intake-workflow.md1.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

retro private skills

Reflect reusable learnings from a session, incident, diff, error, or prompt into the user's private skill repository. The default output is a focused change under the private repo's .github/skills/<skill>/ tree. Do not convert these learnings into personal instructions, prompts, memories, agents, workspace files, or public sync output.

When to Use

  • User says: private skill retro, private skill repo, skill repo authoring, private skill fix, retro private skills, /retro-private-skills
  • User provides Learnings / Evidence / Impact and wants them reflected into reusable Skill behavior
  • User wants to create or update private repo SKILL.md / references/*
  • A prior attempt wrote to ~/.copilot/instructions, copilot-instructions.md, or local .copilot skills, and the user wants the private repo Skill version instead

Inputs

Accept one or more of: error log, Git diff, conversation summary, terminal history, target skill name, private repo path, or mode (safe-auto, review-only, dry-run, プレビュー). If none are present, stop with 入力不足 and ask for the missing input.

Hard Scope Gate

Allowed write targets are limited to:

  • <private-repo>/.github/skills/<skill>/SKILL.md
  • <private-repo>/.github/skills/<skill>/references/*
  • <private-repo>/.github/skills/<skill>/scripts/*
  • <private-repo>/.github/skills/<skill>/assets/*

Never write to these targets for this workflow unless the user explicitly asks to improve that exact asset:

  • ~/.copilot/instructions/**
  • ~/.copilot/copilot-instructions.md
  • ~/.copilot/skills/**
  • ~/.copilot/m-skills/**
  • workspace .github/**, AGENTS.md, or repository-specific instructions
  • memories, public sync output or remote targets other than the verified private origin authorized by safe-auto

If the best target appears to be an instruction, prompt, memory, or agent, stop with scope 不一致. For this skill, New Skill Proposal means a proposed or created .github/skills/<new-skill>/SKILL.md, not an instruction file. Content written back to a skill must be self-contained and portable; do not depend on a workspace file, memory note, local absolute path, or environment-specific ledger remaining available, and do not name another skill or delegate rules to it (describe out-of-scope work generically).

Intake Pre-Step (optional)

Intake is a separate, explicit pre-step that brings existing skills into the private repo from a local Copilot skill mirror or from a workspace's .github/skills/<skill>. Skip it for a normal retro. When requested, follow Private Skill Intake Workflow; only the mirror pre-step may write under <private-repo>/copilot-skills/**, while curated authoring remains under .github/skills/<skill>/.

Private Repo Resolution

Resolve the private repo root in this order:

  1. Explicit private repo path from the user
  2. SYNC_PUBLIC_SKILLS_PRIVATE_REPO from Process/User/Machine environment; if $env: is empty, explicitly check [Environment]::GetEnvironmentVariable(name, 'Process'/'User'/'Machine') before declaring it unset
  3. Parent repo inferred from SYNC_PUBLIC_SKILLS_SCRIPT
  4. Current workspace only if it contains .github/skills/ and is clearly the private skill repo

After resolution, verify that .github/skills/ exists. If not, stop with private repo 未解決.

Mode

  • Default: safe-auto
  • review-only, dry-run, or プレビュー: propose target changes and stop before editing
  • In safe-auto, edit directly when scope is clear, the safety gate passes, and the change is small or medium
  • Confirm unclear scope, new privileges/destinations/visibility/defaults, destructive deletion or uncertain sensitive data. Otherwise use safe-auto without reapproval; read-only and holds take precedence.
  • In safe-auto, create a focused local commit and push it in the same run. There is no ahead-count threshold: several PCs share this repo, so a local commit left behind means the next machine starts from a stale tree. Invoking this skill counts as the push approval. To keep a draft local instead, use review-only or dry-run.
  • Git gate: fetch once, classify dirty/ahead, isolate unrelated dirty, and verify the push sends only private-skill commits; stop after two HEAD.lock failures; never reset --hard, force push, public/internal/EMU sync, release, or tag without explicit instruction. Details: Git Safety Procedure.
  • Do not run public, internal, or EMU sync from this skill. If distribution is needed, state in the completion report that a separate distribution sync is needed and leave it to the repository's sync workflow.

Routing Rules

  1. Extract each item into Learning / Evidence / Impact.
  2. Prioritize by Impact x Recurrence as P1/P2/P3.
  3. Inspect existing private skills before creating anything.
  4. Route to the most specific existing skill when one clearly owns the behavior. 4b. Multi-target case: when a learning is a cross-cutting principle that several skills must own independently to stay Self-Contained (for example: tool-platform constraints, push-threshold rules, gate items that each skill verifies locally), apply it to every affected skill as a 1-line gate. Each copy must be a tiny independent SSOT, not a hard reference to a primary; same wording across files is allowed when portability requires it. Do not copy the same long block — keep each insertion to one line of judgment. 4c. Multi-learning case: when one incident produces several independent learnings with different owning skills, split them and update each owning skill in the same retro turn. Do not force all learnings into the first plausible skill. Example: deck artifact folder design belongs to planning/workspace skills, while generation/editing mechanics belong to automation skills.
  5. If no existing skill owns the behavior and the learning is reusable as a workflow, create a new private skill folder.
  6. If the learning is workspace/customer/project-specific, abstract it before writing; if it cannot be safely abstracted, stop with scope 不一致 and suggest a workspace-scoped record or workflow instead.
  7. A scope 不一致 or hand-off stop applies only to that learning; continue independent in-scope learnings. Stop the whole run only when overall safety is unresolved. For an out-of-scope learning, name the recommended destination and why, and confirm it exists; if unconfirmed, report 確認待ち and the missing information instead of switching to a forbidden target.

Edit Rules

  • Prefer improving existing text over appending duplicate guidance.
  • Authoring rules (refactor order, single-observation rule, compaction): see Authoring Rules.
  • Keep SKILL.md a lean entry point, not a general tutorial; move detailed procedures, command examples, and examples to references/*.
  • Do not store secrets, customer data, tenant-specific IDs, local absolute paths, tokens, or /memories/** content in the private skill repo.
  • If a local absolute path is necessary as an example, replace it with a placeholder such as <private-repo>.

Procedure

1. Resolve and Inspect

  • Resolve private repo root.
  • Verify .github/skills/ exists.
  • Run the Git preflight in Git Safety Procedure.
  • List candidate skills and read the most likely SKILL.md files. For large repos or thorough audits, delegate this inventory step to a sub-agent so scope is settled before extracting learnings.
  • If the private repo has its own skill authoring guide, follow its structure and review guidance for new or heavily changed skills.

2. Decide Target

Choose exactly one:

  • Update existing skill: the learning changes how an existing workflow should behave.
  • Add reference to existing skill: the detail is useful but too long for SKILL.md.
  • Create new private skill: the learning forms a distinct reusable workflow and no existing skill owns it.
  • Stop: the input is not actionable or belongs outside private .github/skills/.

3. Apply

  • Edit only under <private-repo>/.github/skills/<skill>/.
  • Keep the diff focused and small.
  • New-skill frontmatter and formatter-drift handling: see Authoring Rules.
  • Add references/ only when detail would bloat SKILL.md, and link each new reference from the entry (one Key References row, plus trigger words in description / When to Use when users can ask for the capability). Never defer that link for entry-size reasons; detail stays in the reference.

4. Bloat Check

After editing, delete unnecessary, self-evident or duplicate text before shortening, only if normal/exception/stop decisions stay unchanged; compact remaining detail or move it to references/. Preserve evidence, nontrivial procedures, scope, required examples, metadata, approvals, unverified requirements and failure/recovery conditions; age alone does not obsolete history, and unsaved notes stay protected. Measure body characters before and after with the same newline handling; report the diff and why replacement was not enough only on a net increase. Never create a history file per run.

5. Validate

Before final response:

  • Check changed paths are all under <private-repo>/.github/skills/.
  • Check no forbidden target was changed.
  • Parse YAML frontmatter for every changed SKILL.md, even one-line edits. Check name against the folder, description triggers and argument-hint against the current use case, and user-invocable, disable-model-invocation (manual-only needs argument-hint), license, and metadata.author against repo conventions; metadata lint alone cannot detect a stale hint.
  • Check no obvious secret, customer data, tenant ID, or local absolute path was added. Scan added lines or the staged target content; do not scan unchanged diff context, which can trigger false positives on pre-existing terms.
  • Commit/push intended private skill changes in safe-auto only when scope is clear, all changed paths are intended, and remote/scope checks pass. Done means the execution checkout is clean with ahead/behind 0/0; original unrelated dirty is preserved and reported, not a completion blocker.
  • List up to three read-only candidates: dirty -> Retro; pending private commits -> ahead-range review; committed public-safe gap -> separately requested sync. Honor holds/visibility; never expand operations or offer private/internal/denied content for public sync.

Output

Use the compact report in Authoring Rules.

Stop reasons: 入力不足 / private repo 未解決 / scope 不一致 / Safety Gate 失敗 / actionable な知見なし / 新規 skill 候補 / review-only.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning, scheduled automation model allocation, or when agent workflows may be overkill. Triggers on 'agent workflow', 'create agent', 'automation models', 'ワークフロー設計', 'orchestrator'.

The English summary is being prepared. Showing the original description.

aktsmm/Agent-Skills26Updated Oct 23, 2026

Design, run, and review fair performance, token, and cost comparisons across GitHub Copilot CLI, Codex CLI, and direct model APIs. Use for AI CLI benchmark, Copilot vs Codex, prompt-cache diagnosis, cache read/write analysis, fresh-process latency measurement, token-cost comparison, or when a benchmark must separate provider caching from local CLI caches.

The English summary is being prepared. Showing the original description.

aktsmm/Agent-Skills26Updated Oct 23, 2026

Analyze historical VS Code GitHub Copilot Chat sessions by model, reasoning effort, AIU, time, reliability, workflow behavior, and external quality evidence, or safely prune workspace-scoped local chat history by age. Use for session analysis, repeated-task retrospectives, model evaluation, cost/performance analysis, and old session cleanup.

The English summary is being prepared. Showing the original description.

aktsmm/Agent-Skills26Updated Oct 23, 2026

Create reproducible animated infographic GIFs from structured data or measured results, with audience-language labels, explicit timing semantics, representative-frame QA, and a static fallback. Use when asked for GIF生成, animated infographic, 動的インフォグラフィック, 結果が流れる図, animated benchmark, or a blog/SNS animation whose displayed metrics must remain traceable to source data.

The English summary is being prepared. Showing the original description.

aktsmm/Agent-Skills26Updated Oct 23, 2026

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid. Also use for Archify, interactive or animated HTML diagrams, インタラクティブ図, 動く構成図. When an editable .drawio file is required, use the draw.io workflow instead and treat Archify HTML only as a supplement.

The English summary is being prepared. Showing the original description.

aktsmm/Agent-Skills26Updated Oct 23, 2026

Generate ASCII-art text banners for terminals, READMEs, and CLI startup messages. Use when a user asks for an ASCII banner, text art, バナー, アスキーアート, or a decorative header for a script/README.

The English summary is being prepared. Showing the original description.

aktsmm/Agent-Skills26Updated Oct 23, 2026

See all skills by aktsmm

Report a problem with this skill