cache
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git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace /tmp/cache && cp -r /tmp/cache/plugins/ai-agency/hyperflow/skills/cache ~/.claude/skills/cacheSKILL.md
# Cache CRUD interface for `.hyperflow/memory/`. Full protocol: [memory-system.md](references/memory-system.md). ## Storage All operations target `.hyperflow/memory/` at the project root. Never modify source code files — if asked to "remember X about file Y", add a memory entry only, never edit Y. ## Subcommands | Subcommand | Description | |---|---| | `show [tag]` | Print index or filter entries by tag | | `search <query>` | Full-text search across all memory files | | `add <category> <title>` | Append a new entry (prompts for details) | | `edit <entry-id>` | Find entry by date+title slug and update in place | | `prune` | Remove stale, superseded, and orphaned entries | | `archive` | Move entries older than 30 days to cold storage | | `clear` | Wipe all memory (with confirmation, recoverable) | | `stats` | Counts, tier breakdown, tag frequency, oldest/newest | | `migrate` | Import entries from legacy `~/.claude/hyperflow-memory.md` | | `off` | Disable memory writes for this session | | `compact` | Summarise aged memory entries into stubs + monthly archive sidecars | ## Subcommand Details ### `show [tag]` No arg → print `index.md`. With tag → filter all files for matching entries. Output table: `Date | Title | Tags | File | Tier` ### `search <query>` grep/ripgrep across `learnings.md`, `decisions.md`, `pitfalls.md`, `patterns.md`, `conventions.md`. Return `file:line` + snippet, ranked by relevance. ### `add <category> <title>` Categories: `learning` `decision` `pitfall` `pattern` `convention` Prompt via AskUserQuestion for: `what`, `why it matters`, `tags` (controlled vocab). Append to the matching file using: ``` ### [YYYY-MM-DD] <title> `[tag1, tag2]` **What:** ... **Why it matters:** ... **Evidence:** ... ``` That is the whole write. `index.md` is derived — `scripts/memory-index.py` rebuilds it at the next session start. Never append index rows by hand; to refresh it now, run `python3 scripts/memory-index.py .hyperflow`. ### `edit <entry-id>` Locate by date+title slug. Show current value, prompt for new value, update in place. ### `prune` Per [memory-system.md](references/memory-system.md) pruning protocol: - Remove `[SUPERSEDED]` entries older than 7 days - Remove entries whose referenced files no longer exist (`test -f`) - Archive entries unreferenced 90+ days to `.hyperflow/memory/archive/YYYY-MM.md` Print summary of removed/archived counts. ### `archive` Compress hot entries older than 30 days → `.hyperflow/memory/archive/YYYY-MM.md`. Leave one-line summary in original file. The stub keeps its date, so the derived index re-tiers it to `cold` on its own. ### `clear` Confirm via AskUserQuestion: "This wipes all memory for this project. Are you sure?" If yes → move all content to `.hyperflow/memory/archive/cleared-<timestamp>.md`, then reset files to empty stubs. ### `stats` Print: total entries, hot/warm/cold counts, tag frequency table, oldest and newest entry dates. ### `migrate` Read `~/.claude/hyperflow-memory.md`, filter entries matching current project path. Append matching entries to `learnings.md`. Leave legacy file untouched. Print count of migrated entries. ### `off` Print: "Memory writes disabled for this session." No files modified. ### `compact` User-invoked memory compaction. Summarises entries older than 7 days into stub lines and preserves the full text in monthly archive sidecars at `.hyperflow/memory/archive/YYYY-MM.md`. Flow: 1. The compact subcommand handler reads the target memory file (default: `learnings.md`; pass a path to target another). 2. The Date/tag parser splits entries into hot (≤7 days, preserved) and eligible (>7 days). Both `[domain, type]` and legacy backticked `` `[domain, type]` `` tag forms are accepted. 3. The Compaction Writer is dispatched in a single batch with all eligible entries. 4. The Stub formatter renders each replacement line as `### [YYYY-MM-DD] Short title [domain, type] — summarized, see archive/YYYY-MM.md`. 5. The Dedup Reviewer performs source-side stub-line match and archive-side header match (date + title + tags on both sides) to prevent duplicates. 6. The Archive-sidecar writer appends accepted entries to `archive/YYYY-MM.md`, grouped by each entry's calendar month. 7. The source file is rewritten with stubs replacing the original entries. 8. The compact subcommand handler refreshes `.hyperflow/memory/.checksums` (a memory-scoped sidecar — distinct from `.hyperflow/.checksums` which the scaffold staleness check owns) and exits with a summary. Output: `N entries compacted into archive/YYYY-MM.md · M stubs rejected as duplicates · source N→M lines`. Full protocol in [compaction.md](references/compaction.md). ## Flow 1. Parse invocation to determine subcommand 2. If subcommand missing → list subcommands table above with one-line descriptions 3. Execute subcommand 4. Print structured result with counts/changes summary ## Overview `/hyperflow:cache` is the operator interface to project-scoped memory under `.hyperflow/memory/`. It's the only skill that mutates memory files directly (other skills append via the memory-system protocol). Subcommands cover the full lifecycle: show, search, add, edit, prune, archive, clear, stats, migrate. All operations are project-local — entries never leak across projects. ## Prerequisites - `.hyperflow/` initialized (run `/hyperflow:scaffold` if missing — cache creates `.hyperflow/memory/` on first write but expects the parent dir). - Write access to `.hyperflow/memory/` and `.hyperflow/memory/archive/`. - For `migrate` only: read access to `~/.claude/hyperflow-memory.md` (legacy global memory). ## Instructions See [Subcommands](#subcommands) and [Subcommand Details](#subcommand-details) above for the full operational spec. Summary: 1. Parse the subcommand from the user's invocation (or list subcommands if none given). 2. Validate prerequisites for the chosen subcommand (e.g. `clear` requires `AskUserQuestion` confirmation; `migrate` requires legacy file presence). 3.
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Engineering lead — hand Apex any task and it routes internally. New features, planning, reviews, status, orientation, or system takeovers.
Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.
CTO-level project status from git and codebase state. Use when asked "where are we", "project status", "what's done", or at the start of a work session.
System takeover — take ownership of an existing codebase or inherited system. Use when "we acquired this", "previous team left", "take over this system", "inherited this codebase".
Knowledge engineer — architecture docs, ADRs, diagrams, changelogs, onboarding, and reports.