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v0.2.0 — multi-harness packaging + purpose-led positioning

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@krabhishek krabhishek released this 01 Jul 01:50
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Cisely — Agency Model plugin, now installable across coding assistants and repositioned around purpose.

Multi-harness support

One portable skills payload, thin per-harness adapters:

  • Claude Code/plugin marketplace add CiselyAI/agency-skills/plugin install cisely@cisely-marketplace
  • OpenAI Codex.codex-plugin/plugin.json (skills + mcpServers + interface)
  • Google Antigravityagy plugin install https://github.com/CiselyAI/agency-skills
  • Cursor.cursor/ rule + mcp.json
  • OpenCode.opencode/INSTALL.md
  • Aider.aider.conf.yml (read-only skill context; MCP-less, draft only)
  • Any AGENTS.md-aware toolAGENTS.md + portable .mcp.json (via the mcp-remote stdio bridge)

See docs/install.md for the per-harness install + update matrix.

Positioning

  • README now leads with taste/vision: intelligence is a utility; the scarce input is the judgment to recognize what's right, rooted in shared belief.
  • Cisely framed as writing down taste's roots (beliefs + the choices they justify), not bottling the ineffable judgment — with the honest "amplifies, doesn't author" boundary.
  • New demand-meets-response model summary and 10× teammate alignment angle.

Notes

  • claude plugin validate passes.
  • The Cisely MCP remains the source of truth; every harness needs it wired up (step 3 in the README).

Full changelog: v0.1.0...v0.2.0