MCPInstall

engram-plugin-thin

Adapter boundary rules for plugin integrations. Trigger: Changes in plugin scripts/hooks for Claude, OpenCode, Pi, Gemini, or Codex.

Installs
79
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/gentleman-programming/engram --skill engram-plugin-thin
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads engram-plugin-thin automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

When to Use

Use this skill when:

  • Editing plugin hooks/scripts/adapters
  • Adding passive/active memory capture integrations
  • Wiring agent-specific setup behavior

Boundary Rules

  1. Keep adapters thin: parse input, call API/tool, return.
  2. Put complex logic in Go core (store/server/mcp).
  3. Avoid extra runtime dependencies in plugin scripts.
  4. Reuse a shared contract across all supported agents.

Narrow Pi Exception: Observation-Save Acknowledgement Recovery

plugin/pi native mem_save may resolve only an ambiguous acknowledgement because the Go server cannot observe that a client lost one. Go remains the sole authority for the durable ledger, canonical fingerprint, validation, conflicts, tombstones, retention, and mutation effects.

  • Generate one operation UUID before the initial dispatch and freeze the exact redacted payload and both destinations.
  • On ambiguity, query only authoritative GET /observations/save-result. A typed 404 with code observation_save_result_not_found permits one exact replay after the cancellable 250 ms backoff. A positive replay receipt succeeds immediately; only an ambiguous replay, including a replay 409 or 410, gets one final GET.
  • Keep existing total-deadline and caller-cancellation bounds. A lookup confirms success only with a positive ID and status: "committed"; a successful initial POST retains legacy positive {id} acknowledgement compatibility.
  • Initial received HTTP errors remain typed and never replay or self-heal. Caller cancellation is propagated; unresolved write uncertainty remains unknown, never saved.
  • This exception grants no other route or tool retry authority, no general retry framework, no local business ledger decision, and no telemetry exemption. Timing telemetry may not log the operation UUID; it grants no broader logging permission or change to existing user-facing unknown-outcome diagnostics that expose it for read-only lookup.

Compatibility Checklist

  • Claude Code flow still works
  • OpenCode flow still works
  • Gemini/Codex config paths remain valid
  • Docs reflect real integration behavior

FAQ

What does the engram-plugin-thin skill do?

Adapter boundary rules for plugin integrations. Trigger: Changes in plugin scripts/hooks for Claude, OpenCode, Pi, Gemini, or Codex.

How do I install engram-plugin-thin?

Run npx skills add https://github.com/gentleman-programming/engram --skill engram-plugin-thin in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/engram-plugin-thin/ (personal) or .claude/skills/engram-plugin-thin/ (project).

Which AI agents can use engram-plugin-thin?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is engram-plugin-thin safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains engram-plugin-thin?

It is published by gentleman-programming in gentleman-programming/engram. It has 79 recorded installs.

More from gentleman-programming/engram

View all →

engram-memory-protocol

gentleman-programming/engram

Open the skill to read its SKILL.md instructions.

225 installs

engram-memory

gentleman-programming/engram

Open the skill to read its SKILL.md instructions.

147 installs

engram-testing-coverage

gentleman-programming/engram

Open the skill to read its SKILL.md instructions.

Testing & QA98 installs

engram-branch-pr

gentleman-programming/engram

Open the skill to read its SKILL.md instructions.

engram-docs-alignment

gentleman-programming/engram

Open the skill to read its SKILL.md instructions.

Docs & Writing89 installs

engram-sdd-flow

gentleman-programming/engram

Open the skill to read its SKILL.md instructions.

89 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs